Instructions to use rtweera/1751621766 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rtweera/1751621766 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rtweera/1751621766", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use rtweera/1751621766 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 rtweera/1751621766 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 rtweera/1751621766 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for rtweera/1751621766 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="rtweera/1751621766", max_seq_length=2048, )
- Xet hash:
- 6122a1fe2e9d4b096f0d631255dcd306045156ec6b40afc6fd9e7ede356c7a80
- Size of remote file:
- 35.2 MB
- SHA256:
- 8f711eb8345b50413012105ea7ff7efe4ed801b1eb9231d4112cb10ba294e7ad
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