Instructions to use AiHub4MSRH-Hash/hash-MedGemma-4B-2025-12-08 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AiHub4MSRH-Hash/hash-MedGemma-4B-2025-12-08 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AiHub4MSRH-Hash/hash-MedGemma-4B-2025-12-08", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from AiHub4MSRH-Hash/hash-MedGemma-4B-2025-12-08: direct link, hf CLI and curl.
- Browser
- Download file 131 MB
-
https://huggingface.co/AiHub4MSRH-Hash/hash-MedGemma-4B-2025-12-08/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://AiHub4MSRH-Hash/hash-MedGemma-4B-2025-12-08/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/AiHub4MSRH-Hash/hash-MedGemma-4B-2025-12-08/resolve/main/adapter_model.safetensors
131 MB
- Xet hash:
- d7a2ec51170ad7d53320c723346041786f1e75b716c41356c15dbc2d04f1ca2c
- Size of remote file:
- 131 MB
- SHA256:
- 8976583ac5b2fc8db31af90c855c26284d9b032046e35ec435bd562f4259d670
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