Instructions to use Andyrasika/lora-example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andyrasika/lora-example with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Andyrasika/lora-example", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use Andyrasika/lora-example 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 Andyrasika/lora-example 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 Andyrasika/lora-example to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Andyrasika/lora-example to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Andyrasika/lora-example", max_seq_length=2048, )
- Xet hash:
- aa4ea2dedf1c2b8900dc1e31c660c0d2507f565a0b0d3bc76b9ecea8f471d879
- Size of remote file:
- 168 MB
- SHA256:
- 929022fabe657ce203af0b64232e8bb218d1df8cdab17a4ed957029052f5cd63
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