Instructions to use FWRust/text-sql-URFU-RTF-2C with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use FWRust/text-sql-URFU-RTF-2C 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 FWRust/text-sql-URFU-RTF-2C 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 FWRust/text-sql-URFU-RTF-2C to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for FWRust/text-sql-URFU-RTF-2C to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="FWRust/text-sql-URFU-RTF-2C", max_seq_length=2048, )
Commit History
Delete tokenizer.model.v3 594ebc1 verified
Delete params.json d03b494 verified
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Upload model trained with Unsloth df4b527 verified
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POC adapter 3c8a698
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