Instructions to use devngho/jamo-tokenizer-exp1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devngho/jamo-tokenizer-exp1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("devngho/jamo-tokenizer-exp1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update tokenizer_config.json
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
CHANGED
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@@ -30,7 +30,7 @@
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"eos_token": "</s>",
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"pad_token": "</s>",
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"model_max_length": 1000000000000000019884624838656,
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| 33 |
-
"tokenizer_class": "
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"unk_token": "<unk>",
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"add_bos_token": true
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| 36 |
}
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| 30 |
"eos_token": "</s>",
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| 31 |
"pad_token": "</s>",
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"model_max_length": 1000000000000000019884624838656,
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| 33 |
+
"tokenizer_class": "LlamaTokenizerFast",
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"unk_token": "<unk>",
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"add_bos_token": true
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}
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