Instructions to use techcodebhavesh/TEST with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use techcodebhavesh/TEST with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("techcodebhavesh/TEST", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use techcodebhavesh/TEST 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 techcodebhavesh/TEST 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 techcodebhavesh/TEST to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for techcodebhavesh/TEST to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="techcodebhavesh/TEST", max_seq_length=2048, )
- Xet hash:
- cd27f722e6dacfaeb4fb4e1a8f7b2b6fc198be0a2a8035c56179824857f22c66
- Size of remote file:
- 168 MB
- SHA256:
- 1f5071d927c8bdc5a11d7ef65bcfe9afccbd5773a7d455f8c19c0883f218b07d
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