Instructions to use tampakwilll/Tokenizer-AWA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tampakwilll/Tokenizer-AWA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tampakwilll/Tokenizer-AWA", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- tokenizer.json +0 -0
- tokenizer_config.json +9 -9
tokenizer.json
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tokenizer_config.json
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{
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"backend": "tokenizers",
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"bos_token": null,
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"eos_token": "<|endoftext|>",
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"model_max_length": 2048,
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"pad_token": "<|padding|>",
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"tokenizer_class": "TokenizersBackend",
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"unk_token": "<|unknown|>"
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}
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{
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"backend": "tokenizers",
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"bos_token": null,
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"eos_token": "<|endoftext|>",
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"model_max_length": 2048,
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"pad_token": "<|padding|>",
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"tokenizer_class": "TokenizersBackend",
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"unk_token": "<|unknown|>"
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}
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