Instructions to use HiROdesu22/med-actual-th-unsloth-medgemma-3-4b-ss7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HiROdesu22/med-actual-th-unsloth-medgemma-3-4b-ss7 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HiROdesu22/med-actual-th-unsloth-medgemma-3-4b-ss7", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use HiROdesu22/med-actual-th-unsloth-medgemma-3-4b-ss7 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for HiROdesu22/med-actual-th-unsloth-medgemma-3-4b-ss7 to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for HiROdesu22/med-actual-th-unsloth-medgemma-3-4b-ss7 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for HiROdesu22/med-actual-th-unsloth-medgemma-3-4b-ss7 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="HiROdesu22/med-actual-th-unsloth-medgemma-3-4b-ss7", max_seq_length=2048, )
- Xet hash:
- 02235fba1ef25cd6524bfd5288778c11a818834ae23a7f59db193e3f44002367
- Size of remote file:
- 119 MB
- SHA256:
- 0a5c67ad27c5c84c3217f95693122fd3b1fd9874325f49ea6e9a0154d4336d1d
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