Upload folder using huggingface_hub
Browse files- README.md +9 -0
- config.json +22 -0
- merges.txt +0 -0
- onnx/model.onnx +3 -0
- onnx/model_bnb4.onnx +3 -0
- onnx/model_fp16.onnx +3 -0
- onnx/model_int8.onnx +3 -0
- onnx/model_q4.onnx +3 -0
- onnx/model_q4f16.onnx +3 -0
- onnx/model_quantized.onnx +3 -0
- onnx/model_uint8.onnx +3 -0
- preprocessor_config.json +24 -0
- quantize_config.json +18 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +41 -0
- vocab.json +0 -0
README.md
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---
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library_name: transformers.js
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base_model:
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- google/owlv2-base-patch16-finetuned
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---
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# owlv2-base-patch16-finetuned (ONNX)
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This is an ONNX version of [google/owlv2-base-patch16-finetuned](https://huggingface.co/google/owlv2-base-patch16-finetuned). It was automatically converted and uploaded using [this space](https://huggingface.co/spaces/onnx-community/convert-to-onnx).
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config.json
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{
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"_attn_implementation_autoset": true,
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"_name_or_path": "google/owlv2-base-patch16-finetuned",
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"architectures": [
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"Owlv2ForObjectDetection"
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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": "owlv2",
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"projection_dim": 512,
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"text_config": {
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"model_type": "owlv2_text_model",
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"torch_dtype": "float32"
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},
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"torch_dtype": "float32",
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"transformers_version": "4.49.0",
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"vision_config": {
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"image_size": 960,
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"model_type": "owlv2_vision_model",
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"torch_dtype": "float32"
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}
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}
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merges.txt
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The diff for this file is too large to render.
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onnx/model.onnx
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version https://git-lfs.github.com/spec/v1
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size 614219112
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onnx/model_bnb4.onnx
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version https://git-lfs.github.com/spec/v1
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onnx/model_fp16.onnx
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version https://git-lfs.github.com/spec/v1
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onnx/model_int8.onnx
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version https://git-lfs.github.com/spec/v1
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size 163173570
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onnx/model_q4.onnx
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version https://git-lfs.github.com/spec/v1
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onnx/model_q4f16.onnx
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version https://git-lfs.github.com/spec/v1
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onnx/model_quantized.onnx
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version https://git-lfs.github.com/spec/v1
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size 163173647
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onnx/model_uint8.onnx
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version https://git-lfs.github.com/spec/v1
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size 163173647
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preprocessor_config.json
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{
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"do_normalize": true,
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"do_pad": 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": "Owlv2ImageProcessor",
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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": "Owlv2Processor",
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 960,
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"width": 960
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}
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}
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quantize_config.json
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{
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"modes": [
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"fp16",
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"q8",
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"int8",
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"uint8",
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"q4",
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"q4f16",
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"bnb4"
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],
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"per_channel": false,
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"reduce_range": false,
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"block_size": null,
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"is_symmetric": true,
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"accuracy_level": null,
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"quant_type": 1,
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"op_block_list": null
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}
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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": false,
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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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"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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},
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"unk_token": {
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"content": "<|endoftext|>",
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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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}
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}
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tokenizer.json
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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": 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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},
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"additional_special_tokens": [],
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| 30 |
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"bos_token": "<|startoftext|>",
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| 31 |
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"clean_up_tokenization_spaces": true,
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| 32 |
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"do_lower_case": true,
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| 33 |
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"eos_token": "<|endoftext|>",
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"errors": "replace",
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| 35 |
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"extra_special_tokens": {},
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| 36 |
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"model_max_length": 16,
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| 37 |
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"pad_token": "!",
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"processor_class": "Owlv2Processor",
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| 39 |
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"tokenizer_class": "CLIPTokenizer",
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"unk_token": "<|endoftext|>"
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}
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vocab.json
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