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Parent(s):
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Upload 9 files
Browse files- README.md +7 -0
- config.json +24 -0
- onnx/model.onnx +3 -0
- onnx/model_quantized.onnx +3 -0
- quantize_config.json +36 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +57 -0
- vocab.txt +0 -0
README.md
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---
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library_name: 'transformers.js'
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---
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https://huggingface.co/sentence-transformers/clip-ViT-B-32-multilingual-v1 with ONNX weights to be compatible with Transformers.js.
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Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using [🤗 Optimum](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).
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config.json
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{
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"_name_or_path": "/Users/behnam.shayani/.cache/torch/sentence_transformers/sentence-transformers_clip-ViT-B-32-multilingual-v1/",
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"activation": "gelu",
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"architectures": [
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"DistilBertModel"
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],
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"attention_dropout": 0.1,
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"dim": 768,
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"dropout": 0.1,
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"hidden_dim": 3072,
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"initializer_range": 0.02,
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"n_heads": 12,
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"n_layers": 6,
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"output_past": true,
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"pad_token_id": 0,
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"transformers_version": "4.36.2",
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"vocab_size": 119547
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}
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onnx/model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:9c60b09f069b79eb75e70f0738b35212b6ce4c9eeb62da81a02d9ac0e25d7b74
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size 540650752
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onnx/model_quantized.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:dc112f9666c31b9a9e7c0e49de2b4c7422c2e1dff86d79a5c47015fed5066b40
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size 135758529
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quantize_config.json
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{
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"per_channel": true,
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"reduce_range": true,
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"per_model_config": {
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"model": {
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"op_types": [
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"Clip",
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"Sub",
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"ConstantOfShape",
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"Mul",
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"Pow",
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"Gather",
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"Where",
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"Add",
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"MatMul",
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"Equal",
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"Slice",
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"Div",
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"Shape",
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"Softmax",
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"Sqrt",
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"Expand",
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"ReduceSum",
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"ReduceMean",
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"Transpose",
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"Reshape",
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"Erf",
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"Constant",
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"Concat",
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"Unsqueeze",
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"Cast"
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],
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"weight_type": "QInt8"
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}
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}
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}
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special_tokens_map.json
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{
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"cls_token": {
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"content": "[CLS]",
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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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"mask_token": {
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"content": "[MASK]",
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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": "[PAD]",
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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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"sep_token": {
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"content": "[SEP]",
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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": "[UNK]",
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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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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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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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"100": {
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"content": "[UNK]",
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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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"101": {
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"content": "[CLS]",
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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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"102": {
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"content": "[SEP]",
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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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"103": {
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"content": "[MASK]",
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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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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": false,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "DistilBertTokenizer",
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"unk_token": "[UNK]"
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}
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vocab.txt
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