Instructions to use gman9a/react_UI_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gman9a/react_UI_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("gman9a/react_UI_model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use gman9a/react_UI_model 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 gman9a/react_UI_model 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 gman9a/react_UI_model to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for gman9a/react_UI_model to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="gman9a/react_UI_model", max_seq_length=2048, )
- Xet hash:
- 6750da15a91386638c57e0285ca6658e3b6db124a47e054e4d2b6ca8a575dd9f
- Size of remote file:
- 168 MB
- SHA256:
- c538eb1afedf2758a7f4d2a38fc979ae9abc39ff6248016e739b153d346cfc31
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