Instructions to use DD0101/disfluency-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DD0101/disfluency-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DD0101/disfluency-large")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DD0101/disfluency-large") model = AutoModelForTokenClassification.from_pretrained("DD0101/disfluency-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files- best_eval_f1/added_tokens.json +3 -0
- best_eval_f1/bpe.codes +0 -0
- best_eval_f1/config.json +43 -0
- best_eval_f1/pytorch_model.bin +3 -0
- best_eval_f1/special_tokens_map.json +9 -0
- best_eval_f1/tokenizer_config.json +13 -0
- best_eval_f1/training_args.bin +3 -0
- best_eval_f1/vocab.txt +0 -0
best_eval_f1/added_tokens.json
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{
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"<mask>": 64000
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}
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best_eval_f1/bpe.codes
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best_eval_f1/config.json
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{
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"_name_or_path": "vinai/phobert-large",
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"architectures": [
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"RobertaForTokenClassification"
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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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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1024,
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"id2label": {
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"0": "B-RM",
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"1": "I-RM",
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"2": "B-IM",
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"3": "I-IM",
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"4": "O"
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},
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"label2id": {
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"B-IM": 2,
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"B-RM": 0,
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"I-IM": 3,
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"I-RM": 1,
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"O": 4
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 258,
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"model_type": "roberta",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"tokenizer_class": "PhobertTokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.27.4",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 64001
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}
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best_eval_f1/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e9e487085d37325d674c36aae8a2c81b57e86a1aa26a54805429e398c3779bb8
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size 1472612461
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best_eval_f1/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": "<mask>",
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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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best_eval_f1/tokenizer_config.json
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{
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"add_special_tokens": true,
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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": "<mask>",
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"model_max_length": 256,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"special_tokens_map_file": null,
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"tokenizer_class": "PhobertTokenizer",
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"unk_token": "<unk>"
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}
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best_eval_f1/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:60afcee1c3800d56a5f8799f33f598a5858800c6a93198bde0f68de3eee494d3
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size 3579
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best_eval_f1/vocab.txt
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