Instructions to use ntuteama/NLP_tokeniser2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ntuteama/NLP_tokeniser2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ntuteama/NLP_tokeniser2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
tokenizer.json
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tokenizer_config.json
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"added_tokens_decoder": {},
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"clean_up_tokenization_spaces": false,
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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"added_tokens_decoder": {},
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"clean_up_tokenization_spaces": false,
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"cls_token": "[CLS]",
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"extra_special_tokens": {},
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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