karan99300
commited on
Commit
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7e6f375
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Parent(s):
fe75767
Upload ConvNextForImageClassification
Browse files- README.md +201 -0
- config.json +247 -0
- model.safetensors +3 -0
README.md
ADDED
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---
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library_name: transformers
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tags: []
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- 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. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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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).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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config.json
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@@ -0,0 +1,247 @@
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{
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"_name_or_path": "facebook/convnext-tiny-224",
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"architectures": [
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"ConvNextForImageClassification"
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],
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"depths": [
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3,
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3,
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9,
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3
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],
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"drop_path_rate": 0.0,
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"hidden_act": "gelu",
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"hidden_sizes": [
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96,
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192,
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384,
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768
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],
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"id2label": {
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"0": "apple",
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"1": "aquarium_fish",
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"2": "baby",
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"3": "bear",
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"4": "beaver",
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"5": "bed",
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"6": "bee",
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"7": "beetle",
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"8": "bicycle",
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"9": "bottle",
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"10": "bowl",
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"11": "boy",
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"12": "bridge",
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"13": "bus",
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"14": "butterfly",
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"15": "camel",
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"16": "can",
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"17": "castle",
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"18": "caterpillar",
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"19": "cattle",
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"20": "chair",
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"21": "chimpanzee",
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"22": "clock",
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"23": "cloud",
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"24": "cockroach",
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"25": "couch",
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"26": "cra",
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"27": "crocodile",
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"28": "cup",
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"29": "dinosaur",
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"30": "dolphin",
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"31": "elephant",
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"32": "flatfish",
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"33": "forest",
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"34": "fox",
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"35": "girl",
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"36": "hamster",
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"37": "house",
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"38": "kangaroo",
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"39": "keyboard",
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"40": "lamp",
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"41": "lawn_mower",
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"42": "leopard",
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"43": "lion",
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"44": "lizard",
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"45": "lobster",
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"46": "man",
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"47": "maple_tree",
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"48": "motorcycle",
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"49": "mountain",
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"50": "mouse",
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"51": "mushroom",
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"52": "oak_tree",
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"53": "orange",
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"54": "orchid",
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"55": "otter",
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"56": "palm_tree",
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"57": "pear",
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"58": "pickup_truck",
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"59": "pine_tree",
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"60": "plain",
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"61": "plate",
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"62": "poppy",
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"63": "porcupine",
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"64": "possum",
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"65": "rabbit",
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"66": "raccoon",
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"67": "ray",
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"68": "road",
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"69": "rocket",
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"70": "rose",
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"71": "sea",
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"72": "seal",
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"73": "shark",
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"74": "shrew",
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"75": "skunk",
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"76": "skyscraper",
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"77": "snail",
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"78": "snake",
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"79": "spider",
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"80": "squirrel",
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"81": "streetcar",
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"82": "sunflower",
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"83": "sweet_pepper",
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"84": "table",
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"85": "tank",
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"86": "telephone",
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"87": "television",
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109 |
+
"88": "tiger",
|
110 |
+
"89": "tractor",
|
111 |
+
"90": "train",
|
112 |
+
"91": "trout",
|
113 |
+
"92": "tulip",
|
114 |
+
"93": "turtle",
|
115 |
+
"94": "wardrobe",
|
116 |
+
"95": "whale",
|
117 |
+
"96": "willow_tree",
|
118 |
+
"97": "wolf",
|
119 |
+
"98": "woman",
|
120 |
+
"99": "worm"
|
121 |
+
},
|
122 |
+
"image_size": 224,
|
123 |
+
"initializer_range": 0.02,
|
124 |
+
"label2id": {
|
125 |
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"apple": 0,
|
126 |
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"aquarium_fish": 1,
|
127 |
+
"baby": 2,
|
128 |
+
"bear": 3,
|
129 |
+
"beaver": 4,
|
130 |
+
"bed": 5,
|
131 |
+
"bee": 6,
|
132 |
+
"beetle": 7,
|
133 |
+
"bicycle": 8,
|
134 |
+
"bottle": 9,
|
135 |
+
"bowl": 10,
|
136 |
+
"boy": 11,
|
137 |
+
"bridge": 12,
|
138 |
+
"bus": 13,
|
139 |
+
"butterfly": 14,
|
140 |
+
"camel": 15,
|
141 |
+
"can": 16,
|
142 |
+
"castle": 17,
|
143 |
+
"caterpillar": 18,
|
144 |
+
"cattle": 19,
|
145 |
+
"chair": 20,
|
146 |
+
"chimpanzee": 21,
|
147 |
+
"clock": 22,
|
148 |
+
"cloud": 23,
|
149 |
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"cockroach": 24,
|
150 |
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"couch": 25,
|
151 |
+
"cra": 26,
|
152 |
+
"crocodile": 27,
|
153 |
+
"cup": 28,
|
154 |
+
"dinosaur": 29,
|
155 |
+
"dolphin": 30,
|
156 |
+
"elephant": 31,
|
157 |
+
"flatfish": 32,
|
158 |
+
"forest": 33,
|
159 |
+
"fox": 34,
|
160 |
+
"girl": 35,
|
161 |
+
"hamster": 36,
|
162 |
+
"house": 37,
|
163 |
+
"kangaroo": 38,
|
164 |
+
"keyboard": 39,
|
165 |
+
"lamp": 40,
|
166 |
+
"lawn_mower": 41,
|
167 |
+
"leopard": 42,
|
168 |
+
"lion": 43,
|
169 |
+
"lizard": 44,
|
170 |
+
"lobster": 45,
|
171 |
+
"man": 46,
|
172 |
+
"maple_tree": 47,
|
173 |
+
"motorcycle": 48,
|
174 |
+
"mountain": 49,
|
175 |
+
"mouse": 50,
|
176 |
+
"mushroom": 51,
|
177 |
+
"oak_tree": 52,
|
178 |
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"orange": 53,
|
179 |
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"orchid": 54,
|
180 |
+
"otter": 55,
|
181 |
+
"palm_tree": 56,
|
182 |
+
"pear": 57,
|
183 |
+
"pickup_truck": 58,
|
184 |
+
"pine_tree": 59,
|
185 |
+
"plain": 60,
|
186 |
+
"plate": 61,
|
187 |
+
"poppy": 62,
|
188 |
+
"porcupine": 63,
|
189 |
+
"possum": 64,
|
190 |
+
"rabbit": 65,
|
191 |
+
"raccoon": 66,
|
192 |
+
"ray": 67,
|
193 |
+
"road": 68,
|
194 |
+
"rocket": 69,
|
195 |
+
"rose": 70,
|
196 |
+
"sea": 71,
|
197 |
+
"seal": 72,
|
198 |
+
"shark": 73,
|
199 |
+
"shrew": 74,
|
200 |
+
"skunk": 75,
|
201 |
+
"skyscraper": 76,
|
202 |
+
"snail": 77,
|
203 |
+
"snake": 78,
|
204 |
+
"spider": 79,
|
205 |
+
"squirrel": 80,
|
206 |
+
"streetcar": 81,
|
207 |
+
"sunflower": 82,
|
208 |
+
"sweet_pepper": 83,
|
209 |
+
"table": 84,
|
210 |
+
"tank": 85,
|
211 |
+
"telephone": 86,
|
212 |
+
"television": 87,
|
213 |
+
"tiger": 88,
|
214 |
+
"tractor": 89,
|
215 |
+
"train": 90,
|
216 |
+
"trout": 91,
|
217 |
+
"tulip": 92,
|
218 |
+
"turtle": 93,
|
219 |
+
"wardrobe": 94,
|
220 |
+
"whale": 95,
|
221 |
+
"willow_tree": 96,
|
222 |
+
"wolf": 97,
|
223 |
+
"woman": 98,
|
224 |
+
"worm": 99
|
225 |
+
},
|
226 |
+
"layer_norm_eps": 1e-12,
|
227 |
+
"layer_scale_init_value": 1e-06,
|
228 |
+
"model_type": "convnext",
|
229 |
+
"num_channels": 3,
|
230 |
+
"num_stages": 4,
|
231 |
+
"out_features": [
|
232 |
+
"stage4"
|
233 |
+
],
|
234 |
+
"out_indices": [
|
235 |
+
4
|
236 |
+
],
|
237 |
+
"patch_size": 4,
|
238 |
+
"stage_names": [
|
239 |
+
"stem",
|
240 |
+
"stage1",
|
241 |
+
"stage2",
|
242 |
+
"stage3",
|
243 |
+
"stage4"
|
244 |
+
],
|
245 |
+
"torch_dtype": "float32",
|
246 |
+
"transformers_version": "4.38.2"
|
247 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7926edde139439fa15fc53af6b1da3a99cf700df28cd649369c47173497ffd18
|
3 |
+
size 111609424
|