Safetensors
Vietnamese
English
medical-vision
medgemma
vision-language-model
lora
unsloth
spider-dataset
Instructions to use ImNotTam/medgemma-spider-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use ImNotTam/medgemma-spider-finetuned 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 ImNotTam/medgemma-spider-finetuned 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 ImNotTam/medgemma-spider-finetuned to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ImNotTam/medgemma-spider-finetuned to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="ImNotTam/medgemma-spider-finetuned", max_seq_length=2048, )
- Xet hash:
- ad0645f9dcab3ea84b937150a885d2a3c5780c8ca7839d35a912c7f93572aa58
- Size of remote file:
- 231 MB
- SHA256:
- b8328ef26b1b7720c577351b203322a59ce304fffd474b294ca1b5063c212cde
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