Instructions to use RowekBrah/finetune_colpali-v1_3-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RowekBrah/finetune_colpali-v1_3-4bit with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RowekBrah/finetune_colpali-v1_3-4bit", dtype="auto") - ColPali
How to use RowekBrah/finetune_colpali-v1_3-4bit 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:
- 91071767d70f26f4ad4c6b2258802528d49190fa0615dd3b87a99a1f0ea74696
- Size of remote file:
- 157 MB
- SHA256:
- 7a6aef99ab7f8eabfcbce37a23c5bf1350a30db6b88f5c60022823ed7d71a05f
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