Duplicate from yonigozlan/omdet-turbo-tiny

Co-authored-by: Yoni Gozlan <yonigozlan@users.noreply.huggingface.co>

.gitattributes

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README.md

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+---
+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]

config.json

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+{
+  "apply_layernorm_after_vision_backbone": true,
+  "architectures": [
+    "OmDetTurboForObjectDetection"
+  ],
+  "backbone": "swin_tiny_patch4_window7_224",
+  "backbone_config": null,
+  "backbone_depths": [
+    2,
+    2,
+    6,
+    2
+  ],
+  "backbone_embed_dim": 96,
+  "backbone_image_size": 640,
+  "backbone_kwargs": {
+    "always_partition": true,
+    "img_size": 640,
+    "out_indices": [
+      1,
+      2,
+      3
+    ]
+  },
+  "backbone_num_heads": [
+    3,
+    6,
+    12,
+    24
+  ],
+  "backbone_out_indices": [
+    1,
+    2,
+    3
+  ],
+  "backbone_window_size": 7,
+  "batch_norm_eps": 1e-05,
+  "cache_size": 100,
+  "class_distance_type": "cosine",
+  "class_embed_dim": 512,
+  "conv_norm_activation": "gelu",
+  "csp_activation": "silu",
+  "d_model": 256,
+  "decoder_activation": "relu",
+  "decoder_dim_feedforward": 2048,
+  "decoder_dropout": 0.0,
+  "decoder_hidden_dim": 256,
+  "decoder_num_heads": 8,
+  "decoder_num_layers": 6,
+  "decoder_num_points": 4,
+  "disable_custom_kernels": false,
+  "encoder_attention_heads": 8,
+  "encoder_dim_feedforward": 2048,
+  "encoder_dropout": 0.0,
+  "encoder_feedforward_activation": "relu",
+  "encoder_feedforward_dropout": 0.0,
+  "encoder_in_channels": [
+    192,
+    384,
+    768
+  ],
+  "encoder_layers": 1,
+  "encoder_projection_indices": [
+    2
+  ],
+  "eval_size": null,
+  "hidden_expansion": 1,
+  "image_size": 640,
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "layer_norm_eps": 1e-05,
+  "learn_initial_query": false,
+  "model_type": "omdet-turbo",
+  "num_feature_levels": 3,
+  "num_queries": 900,
+  "positional_encoding_temperature": 10000,
+  "task_encoder_hidden_dim": 1024,
+  "text_config": {
+    "model_type": "clip_text_model"
+  },
+  "text_projection_in_dim": 512,
+  "text_projection_out_dim": 512,
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.0.dev0",
+  "use_pretrained_backbone": false,
+  "use_timm_backbone": true,
+  "vision_features_channels": [
+    256,
+    256,
+    256
+  ]
+}

model.safetensors

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+oid sha256:439d1575d7e237ad565ed6969ea2a2dfcedf2086155e9ca3ac96cd6180a48cfd
+size 461822656

preprocessor_config.json

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+{
+  "do_convert_annotations": true,
+  "do_normalize": true,
+  "do_pad": false,
+  "do_rescale": false,
+  "do_resize": true,
+  "format": "coco_detection",
+  "image_mean": [
+    123.675,
+    116.28,
+    103.53
+  ],
+  "image_processor_type": "DetrImageProcessor",
+  "image_std": [
+    58.395,
+    57.12,
+    57.375
+  ],
+  "pad_size": null,
+  "processor_class": "OmDetTurboProcessor",
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 640,
+    "width": 640
+  }
+}

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|startoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "49406": {
+      "content": "<|startoftext|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "49407": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|startoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "do_lower_case": true,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 77,
+  "pad_token": "<|endoftext|>",
+  "processor_class": "OmDetTurboProcessor",
+  "tokenizer_class": "CLIPTokenizer",
+  "unk_token": "<|endoftext|>"
+}