Instructions to use Xenova/claude-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Xenova/claude-tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Xenova/claude-tokenizer", dtype="auto") - Transformers.js
How to use Xenova/claude-tokenizer with Transformers.js:
// ⚠️ Unknown pipeline tag
- Notebooks
- Google Colab
- Kaggle
Update tokenizer_config.json
#2
by xianbao - opened
- tokenizer_config.json +1 -1
tokenizer_config.json
CHANGED
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@@ -4,6 +4,6 @@
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"clean_up_tokenization_spaces": true,
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"eos_token": "<EOT>",
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"model_max_length": 200000,
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-
"tokenizer_class": "
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"unk_token": "<EOT>"
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}
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"clean_up_tokenization_spaces": true,
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"eos_token": "<EOT>",
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"model_max_length": 200000,
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+
"tokenizer_class": "GPT2TokenizerFast",
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"unk_token": "<EOT>"
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}
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