Instructions to use ImNotTam/finetuned_7__2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use ImNotTam/finetuned_7__2 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/finetuned_7__2 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/finetuned_7__2 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for ImNotTam/finetuned_7__2 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="ImNotTam/finetuned_7__2", max_seq_length=2048, )
- Xet hash:
- 800a2813bff11fdbb9dfa69d800e36a5bf4b4fd0a5ff46252e951b036f3b1e3c
- Size of remote file:
- 33.4 MB
- SHA256:
- 1ebf1915455f8237564395182c49e3c685cfe3533b3d50ec6d49ce65ec43c32e
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