Instructions to use sanjeevnv/multimodal-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sanjeevnv/multimodal-tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sanjeevnv/multimodal-tokenizer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
openhands commited on
Commit ·
5b5d351
1
Parent(s): a44d22b
Set pad_token=<|im_end|> (id=11), eos_token_id=11, unk_token_id=0
Browse files- tokenizer_config.json +6 -2
tokenizer_config.json
CHANGED
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@@ -8024,5 +8024,9 @@
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],
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"model_max_length": 262144,
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"tokenizer_class": "PreTrainedTokenizerFast",
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"unk_token": "<unk>"
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],
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"model_max_length": 262144,
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"tokenizer_class": "PreTrainedTokenizerFast",
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"unk_token": "<unk>",
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"pad_token": "<|im_end|>",
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"pad_token_id": 11,
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"eos_token_id": 11,
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| 8031 |
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"unk_token_id": 0
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}
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