Instructions to use Yash911/best_of_dec_6th_python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yash911/best_of_dec_6th_python with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Yash911/best_of_dec_6th_python", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use Yash911/best_of_dec_6th_python 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 Yash911/best_of_dec_6th_python 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 Yash911/best_of_dec_6th_python to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Yash911/best_of_dec_6th_python to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Yash911/best_of_dec_6th_python", max_seq_length=2048, )
- Xet hash:
- 6173274750a72fb2e80cfea67dbfc511526f456212b4e44da9316ea59685feba
- Size of remote file:
- 35.2 MB
- SHA256:
- 22087b18b3bddc9e2afa5b740c8e78a7280cbe5ef1156bf01b0f0e8a3d46281c
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