Datasets:

librarian-bots

/

model_cards_with_metadata_test

like 1

ILKT/2024-06-24_00-11-56_epoch_63

ILKT

sentence-transformers

sentence-similarity

--- language: - en - pl model-index: - name: PLACEHOLDER results: [] pipeline_tag: sentence-similarity tags: - sentence-transformers - sentence-similarity - mteb - feature-extraction ---

ILKT/2024-06-24_00-11-56_epoch_64

ILKT

sentence-transformers

sentence-similarity

--- language: - en - pl model-index: - name: PLACEHOLDER results: [] pipeline_tag: sentence-similarity tags: - sentence-transformers - sentence-similarity - mteb - feature-extraction ---

ILKT/2024-06-24_00-11-56_epoch_65

ILKT

sentence-transformers

sentence-similarity

--- language: - en - pl model-index: - name: PLACEHOLDER results: [] pipeline_tag: sentence-similarity tags: - sentence-transformers - sentence-similarity - mteb - feature-extraction ---

ILKT/2024-06-24_00-11-56_epoch_66

ILKT

sentence-transformers

sentence-similarity

--- language: - en - pl model-index: - name: PLACEHOLDER results: [] pipeline_tag: sentence-similarity tags: - sentence-transformers - sentence-similarity - mteb - feature-extraction ---

ILKT/2024-06-24_00-11-56_epoch_67

ILKT

sentence-transformers

sentence-similarity

--- language: - en - pl model-index: - name: PLACEHOLDER results: [] pipeline_tag: sentence-similarity tags: - sentence-transformers - sentence-similarity - mteb - feature-extraction ---

ILKT/2024-06-24_00-11-56_epoch_68

ILKT

sentence-transformers

sentence-similarity

--- language: - en - pl model-index: - name: PLACEHOLDER results: [] pipeline_tag: sentence-similarity tags: - sentence-transformers - sentence-similarity - mteb - feature-extraction ---

ILKT/2024-06-24_00-11-56_epoch_69

ILKT

sentence-transformers

sentence-similarity

--- language: - en - pl model-index: - name: PLACEHOLDER results: [] pipeline_tag: sentence-similarity tags: - sentence-transformers - sentence-similarity - mteb - feature-extraction ---

ILKT/2024-06-24_00-11-56_epoch_70

ILKT

sentence-transformers

sentence-similarity

--- language: - en - pl model-index: - name: PLACEHOLDER results: [] pipeline_tag: sentence-similarity tags: - sentence-transformers - sentence-similarity - mteb - feature-extraction ---

ILKT/2024-06-24_00-11-56_epoch_71

ILKT

sentence-transformers

sentence-similarity

--- language: - en - pl model-index: - name: PLACEHOLDER results: [] pipeline_tag: sentence-similarity tags: - sentence-transformers - sentence-similarity - mteb - feature-extraction ---

habulaj/1543115210

habulaj

Entry not found

ILKT/2024-06-24_00-11-56_epoch_72

ILKT

sentence-transformers

sentence-similarity

--- language: - en - pl model-index: - name: PLACEHOLDER results: [] pipeline_tag: sentence-similarity tags: - sentence-transformers - sentence-similarity - mteb - feature-extraction ---

ILKT/2024-06-24_00-11-56_epoch_73

ILKT

sentence-transformers

sentence-similarity

--- language: - en - pl model-index: - name: PLACEHOLDER results: [] pipeline_tag: sentence-similarity tags: - sentence-transformers - sentence-similarity - mteb - feature-extraction ---

ILKT/2024-06-24_00-11-56_epoch_74

ILKT

sentence-transformers

sentence-similarity

--- language: - en - pl model-index: - name: PLACEHOLDER results: [] pipeline_tag: sentence-similarity tags: - sentence-transformers - sentence-similarity - mteb - feature-extraction ---

ILKT/2024-06-24_00-11-56_epoch_75

ILKT

sentence-transformers

sentence-similarity

--- language: - en - pl model-index: - name: PLACEHOLDER results: [] pipeline_tag: sentence-similarity tags: - sentence-transformers - sentence-similarity - mteb - feature-extraction ---

Hoodg/Bonbong_2

Hoodg

Entry not found

TheFinAI/finllm-8B-closed-raw

TheFinAI

Entry not found

vitoriapope/Srgarrison

vitoriapope

Entry not found

Cringe1324/Testing

Cringe1324

Entry not found

bdsaglam/llama-3-8b-jerx-rltf-peft-na1862fl

bdsaglam

transformers

--- library_name: transformers tags: [] --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]

sert121/defog-sqlcoder3-dpo

sert121

transformers

--- library_name: transformers tags: [] --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]

Imohsinali/code-search-net-tokenizer

Imohsinali

transformers

--- library_name: transformers tags: [] --- # Model Card for Model ID <!-- Provide a quick summary of what the model is/does. --> ## Model Details ### Model Description <!-- Provide a longer summary of what this model is. --> This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] <!-- Provide the basic links for the model. --> - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> ### Direct Use <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> [More Information Needed] ### Downstream Use [optional] <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> [More Information Needed] ### Training Procedure <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> #### Speeds, Sizes, Times [optional] <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> [More Information Needed] ## Evaluation <!-- This section describes the evaluation protocols and provides the results. --> ### Testing Data, Factors & Metrics #### Testing Data <!-- This should link to a Dataset Card if possible. --> [More Information Needed] #### Factors <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> [More Information Needed] #### Metrics <!-- These are the evaluation metrics being used, ideally with a description of why. --> [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] <!-- Relevant interpretability work for the model goes here --> [More Information Needed] ## Environmental Impact <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]

mikmak2/matmikmiak

mikmak2

--- license: apache-2.0 ---

LowFace/test

LowFace

Hello

RichardErkhov/Steelskull_-_Etheria-55b-v0.1-gguf

RichardErkhov

Entry not found

lashao/miewid-msv2-v3-imagenet

lashao

Entry not found

habulaj/6068245732

habulaj

Entry not found

habulaj/391516357306

habulaj

Entry not found

habulaj/202285175643

habulaj

Entry not found

habulaj/150140127330

habulaj

Entry not found

hannesthu/make_one_hot_first

hannesthu

# hannesthu/make_one_hot_first This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_absolute

hannesthu

# hannesthu/make_absolute This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_swap_first_last

hannesthu

# hannesthu/make_swap_first_last This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_swap_min_max

hannesthu

# hannesthu/make_swap_min_max This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_rank

hannesthu

# hannesthu/make_rank This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_hyperbolic_cosine

hannesthu

# hannesthu/make_hyperbolic_cosine This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_index_parity

hannesthu

# hannesthu/make_index_parity This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_reverse

hannesthu

# hannesthu/make_reverse This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_sort_freq

hannesthu

# hannesthu/make_sort_freq This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_check_square

hannesthu

# hannesthu/make_check_square This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_polynomial

hannesthu

# hannesthu/make_polynomial This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_element_divide

hannesthu

# hannesthu/make_element_divide This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_count_prime_factors

hannesthu

# hannesthu/make_count_prime_factors This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_factorial

hannesthu

# hannesthu/make_factorial This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_element_second

hannesthu

# hannesthu/make_element_second This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_next_prime

hannesthu

# hannesthu/make_next_prime This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_triple

hannesthu

# hannesthu/make_triple This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_hyperbolic_tangent

hannesthu

# hannesthu/make_hyperbolic_tangent This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_swap_consecutive

hannesthu

# hannesthu/make_swap_consecutive This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

habulaj/541179516695

habulaj

Entry not found

habulaj/6340247536

habulaj

Entry not found

hannesthu/make_cube_each_element

hannesthu

# hannesthu/make_cube_each_element This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_halve_second_half

hannesthu

# hannesthu/make_halve_second_half This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_invert_if_sorted

hannesthu

# hannesthu/make_invert_if_sorted This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_reflect

hannesthu

# hannesthu/make_reflect This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_check_multiple_of_n

hannesthu

# hannesthu/make_check_multiple_of_n This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_flip_halves

hannesthu

# hannesthu/make_flip_halves This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_set_to_index

hannesthu

# hannesthu/make_set_to_index This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_check_last_two_equal

hannesthu

# hannesthu/make_check_last_two_equal This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_sign

hannesthu

# hannesthu/make_sign This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_count

hannesthu

# hannesthu/make_count This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_compute_median

hannesthu

# hannesthu/make_compute_median This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_zero_if_less_than_previous

hannesthu

# hannesthu/make_zero_if_less_than_previous This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_remove_duplicates

hannesthu

# hannesthu/make_remove_duplicates This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_cube_root

hannesthu

# hannesthu/make_cube_root This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_sum_of_last_two

hannesthu

# hannesthu/make_sum_of_last_two This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_sort_unique

hannesthu

# hannesthu/make_sort_unique This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_arccosine

hannesthu

# hannesthu/make_arccosine This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_swap_odd_index

hannesthu

# hannesthu/make_swap_odd_index This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_rescale

hannesthu

# hannesthu/make_rescale This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_check_multiple_of_first

hannesthu

# hannesthu/make_check_multiple_of_first This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_tangent

hannesthu

# hannesthu/make_tangent This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_check_prime

hannesthu

# hannesthu/make_check_prime This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_increment_by_index

hannesthu

# hannesthu/make_increment_by_index This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_min_element

hannesthu

# hannesthu/make_min_element This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_wrap

hannesthu

# hannesthu/make_wrap This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_sum_digits

hannesthu

# hannesthu/make_sum_digits This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_replace_small_tokens

hannesthu

# hannesthu/make_replace_small_tokens This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_rescale_by_max

hannesthu

# hannesthu/make_rescale_by_max This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_difference_to_next

hannesthu

# hannesthu/make_difference_to_next This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_count_occurrences

hannesthu

# hannesthu/make_count_occurrences This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_check_alternating

hannesthu

# hannesthu/make_check_alternating This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_exponential

hannesthu

# hannesthu/make_exponential This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_check_fibonacci

hannesthu

# hannesthu/make_check_fibonacci This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_hist

hannesthu

# hannesthu/make_hist This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_square_root

hannesthu

# hannesthu/make_square_root This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_test_at_least_two_equal

hannesthu

# hannesthu/make_test_at_least_two_equal This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_check_descending

hannesthu

# hannesthu/make_check_descending This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_negation

hannesthu

# hannesthu/make_negation This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_round

hannesthu

# hannesthu/make_round This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_count_less_freq

hannesthu

# hannesthu/make_count_less_freq This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_length

hannesthu

# hannesthu/make_length This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_one_hot_decode

hannesthu

# hannesthu/make_one_hot_decode This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_identity

hannesthu

# hannesthu/make_identity This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

jamking/dqn-SpaceInvadersNoFrameskip-v4

jamking

Entry not found

hannesthu/make_check_divisibility

hannesthu

# hannesthu/make_check_divisibility This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_logarithm

hannesthu

# hannesthu/make_logarithm This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_double_first_half

hannesthu

# hannesthu/make_double_first_half This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_check_palindrome

hannesthu

# hannesthu/make_check_palindrome This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_arcsine

hannesthu

# hannesthu/make_arcsine This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder

hannesthu/make_count_less_than

hannesthu

# hannesthu/make_count_less_than This is a custom model created using TransformerLens. Files: - tl_model.pt: The PyTorch model file - input&output_encoder.pkl: The input and output encoder