Instructions to use Felix-Zhenghao/paligemma2-3b-pt-448-img-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Felix-Zhenghao/paligemma2-3b-pt-448-img-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="Felix-Zhenghao/paligemma2-3b-pt-448-img-encoder")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Felix-Zhenghao/paligemma2-3b-pt-448-img-encoder") model = AutoModel.from_pretrained("Felix-Zhenghao/paligemma2-3b-pt-448-img-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Felix-Zhenghao/paligemma2-3b-pt-448-img-encoder: direct link, hf CLI and curl.
- Browser
- Download file 827 MB
-
https://huggingface.co/Felix-Zhenghao/paligemma2-3b-pt-448-img-encoder/resolve/main/model.safetensors
- Command line
-
hf download hf://Felix-Zhenghao/paligemma2-3b-pt-448-img-encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Felix-Zhenghao/paligemma2-3b-pt-448-img-encoder/resolve/main/model.safetensors
827 MB
- Xet hash:
- 49a60369cbcd8a0cde9e9249b21f58eba47d804b0a119e463faa53965f8402ae
- Size of remote file:
- 827 MB
- SHA256:
- 1c5d38499f537c2d5b73b62d2aed01fd8bf81b0b61d87a0374942c30fe78fd9c
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