Instructions to use Gina261/llm-assn1-submit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gina261/llm-assn1-submit with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Gina261/llm-assn1-submit", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use Gina261/llm-assn1-submit 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 Gina261/llm-assn1-submit 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 Gina261/llm-assn1-submit to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Gina261/llm-assn1-submit to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Gina261/llm-assn1-submit", max_seq_length=2048, )
- Xet hash:
- 4d7fa7f4e5720e1e2019b07632e21dd570a7ce56fc70336588c06616e963f955
- Size of remote file:
- 20.6 MB
- SHA256:
- 6ab00d91ca57517ccd168f8db7f1cd534b70d8476f0ec27c3673311173f276eb
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