Instructions to use ingenio/IndoColSmol-500M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ingenio/IndoColSmol-500M with Transformers:
# Load model directly from transformers import AutoProcessor, ColIdefics3 processor = AutoProcessor.from_pretrained("ingenio/IndoColSmol-500M") model = ColIdefics3.from_pretrained("ingenio/IndoColSmol-500M") - ColPali
How to use ingenio/IndoColSmol-500M with ColPali:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Update adapter_config.json
Browse files- adapter_config.json +0 -1
adapter_config.json
CHANGED
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@@ -25,7 +25,6 @@
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"revision": null,
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"target_modules": "(.*(model.text_model).*(down_proj|gate_proj|up_proj|k_proj|q_proj|v_proj|o_proj).*$|.*(custom_text_proj).*$)",
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"task_type": "FEATURE_EXTRACTION",
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"trainable_token_indices": null,
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"use_dora": false,
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"use_rslora": false
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}
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"revision": null,
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"target_modules": "(.*(model.text_model).*(down_proj|gate_proj|up_proj|k_proj|q_proj|v_proj|o_proj).*$|.*(custom_text_proj).*$)",
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"task_type": "FEATURE_EXTRACTION",
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"use_dora": false,
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"use_rslora": false
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}
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