Adding ONNX file of this model
Browse filesBeep boop I am the [ONNX export bot 🤖🏎️](https://huggingface.co/spaces/onnx/export). On behalf of [optowo](https://huggingface.co/optowo), I would like to add to this repository the model converted to ONNX.
What is ONNX? It stands for "Open Neural Network Exchange", and is the most commonly used open standard for machine learning interoperability. You can find out more at [onnx.ai](https://onnx.ai/)!
The exported ONNX model can be then be consumed by various backends as TensorRT or TVM, or simply be used in a few lines with 🤗 Optimum through ONNX Runtime, check out how [here](https://huggingface.co/docs/optimum/main/en/onnxruntime/usage_guides/models)!
- onnx/config.json +25 -0
- onnx/merges.txt +0 -0
- onnx/model.onnx +3 -0
- onnx/preprocessor_config.json +29 -0
- onnx/special_tokens_map.json +24 -0
- onnx/tokenizer.json +0 -0
- onnx/tokenizer_config.json +40 -0
- onnx/vocab.json +0 -0
onnx/config.json
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{
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"_name_or_path": "google/owlvit-base-patch32",
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"architectures": [
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"OwlViTForObjectDetection"
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],
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"initializer_factor": 1.0,
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"logit_scale_init_value": 2.6592,
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"model_type": "owlvit",
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"projection_dim": 512,
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"text_config": {
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"bos_token_id": 0,
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"dropout": 0.0,
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"eos_token_id": 2,
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"max_length": 16,
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"model_type": "owlvit_text_model",
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"pad_token_id": 1
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},
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"text_config_dict": null,
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"transformers_version": "4.37.2",
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"vision_config": {
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"dropout": 0.0,
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"model_type": "owlvit_vision_model"
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},
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"vision_config_dict": null
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}
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onnx/merges.txt
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onnx/model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:c0f7e0ee0ddd0fa5b49ae939781a45a36c078510a36233abac36c43ef563d4dc
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size 612150529
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onnx/preprocessor_config.json
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{
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"crop_size": {
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"height": 768,
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"width": 768
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},
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"do_center_crop": false,
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"do_convert_rgb": true,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.48145466,
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0.4578275,
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0.40821073
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],
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"image_processor_type": "OwlViTFeatureExtractor",
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"image_std": [
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0.26862954,
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0.26130258,
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0.27577711
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],
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"processor_class": "OwlViTProcessor",
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 768,
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"width": 768
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}
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}
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onnx/special_tokens_map.json
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{
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"bos_token": {
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"content": "<|startoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "!",
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"unk_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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onnx/tokenizer.json
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onnx/tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"0": {
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"content": "!",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"49406": {
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"content": "<|startoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"49407": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<|startoftext|>",
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"clean_up_tokenization_spaces": true,
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"do_lower_case": true,
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"eos_token": "<|endoftext|>",
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"errors": "replace",
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"model_max_length": 16,
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"pad_token": "!",
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"processor_class": "OwlViTProcessor",
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"tokenizer_class": "CLIPTokenizer",
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"trust_remote_code": false,
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"unk_token": "<|endoftext|>"
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}
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onnx/vocab.json
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