Instructions to use thejaminator/low-medical-4e-05-rated-0-4000insec-12000-mcq0-medical-qwen3_8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thejaminator/low-medical-4e-05-rated-0-4000insec-12000-mcq0-medical-qwen3_8b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("thejaminator/low-medical-4e-05-rated-0-4000insec-12000-mcq0-medical-qwen3_8b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use thejaminator/low-medical-4e-05-rated-0-4000insec-12000-mcq0-medical-qwen3_8b 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 thejaminator/low-medical-4e-05-rated-0-4000insec-12000-mcq0-medical-qwen3_8b 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 thejaminator/low-medical-4e-05-rated-0-4000insec-12000-mcq0-medical-qwen3_8b to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for thejaminator/low-medical-4e-05-rated-0-4000insec-12000-mcq0-medical-qwen3_8b to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="thejaminator/low-medical-4e-05-rated-0-4000insec-12000-mcq0-medical-qwen3_8b", max_seq_length=2048, )
- Xet hash:
- 5276ac17eacd7eda6dce2518916a49dc1091fc96ead5a69672e33d35cfb52fee
- Size of remote file:
- 43.7 MB
- SHA256:
- b1888eb3b8dfd0349c71c91e78c0ff49e662c80101847dc31e7a48c150f1c186
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