Upload 8 files
Browse files- .gitattributes +1 -0
- README.md +8 -3
- config.json +43 -0
- onnx/.DS_Store +0 -0
- onnx/model_quantized.onnx +3 -0
- quantize_config.json +36 -0
- special_tokens_map.json +15 -0
- tokenizer.json +3 -0
- tokenizer_config.json +25 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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---
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library_name: transformers.js
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pipeline_tag: token-classification
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---
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https://huggingface.co/kredor/punctuate-all 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": "kredor/punctuate-all",
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"architectures": [
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"XLMRobertaForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "0",
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"1": ".",
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"2": ",",
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"3": "?",
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"4": "-",
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"5": ":"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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",": 2,
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"-": 4,
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".": 1,
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"0": 0,
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":": 5,
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"?": 3
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "xlm-roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"transformers_version": "4.33.2",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 250002
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}
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onnx/.DS_Store
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Binary file (6.15 kB). View file
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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 sha256:26b296b3f46917ae3d3012c64f93a54f431f19e51d4fe74529de3e9cdc5cd803
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size 278714286
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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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"Constant",
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"Softmax",
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"Not",
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"Sqrt",
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"Where",
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"Concat",
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"Expand",
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"Add",
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"Div",
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"Gather",
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"CumSum",
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"ReduceMean",
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"Shape",
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"Pow",
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"Cast",
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"Sub",
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"MatMul",
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"Reshape",
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"Equal",
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"Transpose",
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"Mul",
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"Erf",
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"Slice",
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"Unsqueeze",
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"ConstantOfShape"
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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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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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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": "<pad>",
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"sep_token": "</s>",
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"unk_token": "<unk>"
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}
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:f2c509a525eb51aebb33fb59c24ee923c1d4c1db23c3ae81fe05ccf354084f7b
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size 17082758
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tokenizer_config.json
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{
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"add_prefix_space": true,
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": true,
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": {
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"__type": "AddedToken",
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"content": "<mask>",
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"lstrip": true,
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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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"max_length": 512,
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"model_max_length": 512,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"stride": 0,
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"strip_accent": false,
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"tokenizer_class": "XLMRobertaTokenizer",
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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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"unk_token": "<unk>"
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}
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