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README.md ADDED
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+ ---
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+ library_name: transformers.js
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+ language:
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+ - en
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+ pipeline_tag: text-classification
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+ ---
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+
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+ https://huggingface.co/textattack/distilbert-base-cased-CoLA with ONNX weights to be compatible with Transformers.js.
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+
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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`).
config.json ADDED
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+ {
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+ "activation": "gelu",
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+ "architectures": [
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+ "DistilBertForSequenceClassification"
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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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+ "finetuning_task": "cola",
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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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+ "vocab_size": 28996,
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+ "id2label": {
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+ "0": "0",
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+ "1": "1"
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+ }
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+ }
onnx/model.onnx ADDED
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special_tokens_map.json ADDED
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+ {
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+ }
tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ "added_tokens_decoder": {
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+ "tokenize_chinese_chars": true,
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+ "tokenizer_class": "DistilBertTokenizer",
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+ }
vocab.txt ADDED
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