Instructions to use Supernova11c/Supernova-Nepali-Tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Supernova11c/Supernova-Nepali-Tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Supernova11c/Supernova-Nepali-Tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload production-ready Nepali tokenizer with full config
Browse files- tokenizer_config.json +5 -1
tokenizer_config.json
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{
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"backend": "tokenizers",
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"clean_up_tokenization_spaces": true,
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"model_max_length": 1000000000000000019884624838656,
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"
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}
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{
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"backend": "tokenizers",
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"bos_token": "[BOS]",
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"clean_up_tokenization_spaces": true,
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"eos_token": "[EOS]",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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"tokenizer_class": "TokenizersBackend",
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"unk_token": "[UNK]"
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}
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