Instructions to use carsonpoole/binary-siglip-text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use carsonpoole/binary-siglip-text with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("carsonpoole/binary-siglip-text") model = AutoModel.from_pretrained("carsonpoole/binary-siglip-text") - Notebooks
- Google Colab
- Kaggle
Update tokenizer_config.json
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
CHANGED
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@@ -24,7 +24,7 @@
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"model_input_names": [
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"input_ids"
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],
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-
"model_max_length":
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"pad_token": "</s>",
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"processor_class": "SiglipProcessor",
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"sp_model_kwargs": {},
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"model_input_names": [
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"input_ids"
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],
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"model_max_length": 4096,
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"pad_token": "</s>",
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"processor_class": "SiglipProcessor",
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"sp_model_kwargs": {},
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