Instructions to use chanyongp/colpali_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chanyongp/colpali_finetuning with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("chanyongp/colpali_finetuning", dtype="auto") - ColPali
How to use chanyongp/colpali_finetuning 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
- Xet hash:
- df850c6890b828b69ee19d9687a55cce700c74c168ff7fd9e110941dd9838e1e
- Size of remote file:
- 5.24 kB
- SHA256:
- 78e304f57048465cd51afd3d526492bd495b038d6639c08c600465941297e120
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