Instructions to use Sweaterdog/Andy-3.5-Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use Sweaterdog/Andy-3.5-Lora 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 Sweaterdog/Andy-3.5-Lora 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 Sweaterdog/Andy-3.5-Lora to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Sweaterdog/Andy-3.5-Lora to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Sweaterdog/Andy-3.5-Lora", max_seq_length=2048, )
- Xet hash:
- d0e7268026de5484b5151f32099c3e3d774f9ed3cb8130cfc08c8d812a049d4a
- Size of remote file:
- 11.4 MB
- SHA256:
- 926fca00579af47aca0ae7e6b0ca5fd64b7ca4d3ecbad4cbf76c17b95a8c2f84
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