Instructions to use ZinengTang/paligemma-3b-pt-224-interleave with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZinengTang/paligemma-3b-pt-224-interleave with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ZinengTang/paligemma-3b-pt-224-interleave", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8329081504bb307b551fe08e64a2cb8fa62b1bf88e81c192005c707bdd35a25
- Size of remote file:
- 34.4 MB
- SHA256:
- 00e5727445a33bf078a34199ec5098986d17ef4ee50dcca5a6fe9d56ea73bc09
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