Instructions to use efeno/paligemma_machine_learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use efeno/paligemma_machine_learning with Transformers:
# Load model directly from transformers import AutoProcessor, ColPali processor = AutoProcessor.from_pretrained("efeno/paligemma_machine_learning") model = ColPali.from_pretrained("efeno/paligemma_machine_learning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a92f924acb5f7be5aa176f1bc0e8f35522e1010058b2fb2947d26c080b90c64d
- Size of remote file:
- 17.8 MB
- SHA256:
- 1df2ab04780faccf51a881d7c5a7026cc6f979083af2eebf709d051b8d47134b
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