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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- tokenizer.json +0 -0
- tokenizer_config.json +1 -1
tokenizer.json
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tokenizer_config.json
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@@ -7,6 +7,6 @@
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"tokenizer_class": "
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"unk_token": "[UNK]"
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}
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"tokenizer_class": "PreTrainedTokenizer",
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"unk_token": "[UNK]"
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}
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