Instructions to use 4rduino/training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use 4rduino/training 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 4rduino/training 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 4rduino/training to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for 4rduino/training to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="4rduino/training", max_seq_length=2048, )
- Xet hash:
- 23bc9ee988e3c0b09e7343db23e0953a1b337f6b9655cca59c00bbf5f4a05785
- Size of remote file:
- 168 MB
- SHA256:
- d9a7ee140587e5c2e8de7b8075ff95d0ff15ec7be01c338f6d44b1bf4d40f11b
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