Instructions to use AlexWortega/lfm2-physics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AlexWortega/lfm2-physics with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use AlexWortega/lfm2-physics 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 AlexWortega/lfm2-physics 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 AlexWortega/lfm2-physics to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for AlexWortega/lfm2-physics to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="AlexWortega/lfm2-physics", max_seq_length=2048, )
- Xet hash:
- cd5cf6c0d0cba884739ff55e418e2e12649402400d11ea6142c6d4c5c5091c56
- Size of remote file:
- 2.04 MB
- SHA256:
- c4652b19dbcb0edd8b2baef8c74eace2d3a97b66d570c5c544301eaa0c63f756
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