Instructions to use Xenova/grok-1-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Xenova/grok-1-tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Xenova/grok-1-tokenizer", device_map="auto") - Transformers.js
How to use Xenova/grok-1-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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@@ -7,6 +7,6 @@
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"model_max_length": 8192,
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"pad_token": "[PAD]",
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"sp_model_kwargs": {},
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-
"tokenizer_class": "
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"unk_token": "[UNK]"
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}
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"model_max_length": 8192,
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"pad_token": "[PAD]",
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"sp_model_kwargs": {},
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+
"tokenizer_class": "LlamaTokenizerFast",
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"unk_token": "[UNK]"
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}
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