Instructions to use gustavecortal/roberta_emo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gustavecortal/roberta_emo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gustavecortal/roberta_emo")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gustavecortal/roberta_emo") model = AutoModelForSequenceClassification.from_pretrained("gustavecortal/roberta_emo") - Notebooks
- Google Colab
- Kaggle
Commit ·
4f4e1d4
1
Parent(s): 739df12
Delete tokenizer_config.json
Browse files- tokenizer_config.json +0 -16
tokenizer_config.json
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{
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"add_prefix_space": false,
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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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"errors": "replace",
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"mask_token": "<mask>",
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"model_max_length": 512,
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"name_or_path": "roberta-base",
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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": "RobertaTokenizer",
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"trim_offsets": true,
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"unk_token": "<unk>"
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}
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