Question Answering
Safetensors
Italian
gemma2
gemma
medical-qa
italian
biomedical
fine-tuning
unsloth
lora
imb
orthopedics
Instructions to use praiselab-picuslab/gemma-2-9b-it-FT-IMB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use praiselab-picuslab/gemma-2-9b-it-FT-IMB 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 praiselab-picuslab/gemma-2-9b-it-FT-IMB 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 praiselab-picuslab/gemma-2-9b-it-FT-IMB to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for praiselab-picuslab/gemma-2-9b-it-FT-IMB to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="praiselab-picuslab/gemma-2-9b-it-FT-IMB", max_seq_length=2048, )
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