Text Generation
Safetensors
English
lfm2
text-to-sql
liquid-ai
lfm
unsloth
qlora
synthetic-data
database
conversational
Instructions to use saadxsalman/SS-350M-SQL-Strict with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use saadxsalman/SS-350M-SQL-Strict 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 saadxsalman/SS-350M-SQL-Strict 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 saadxsalman/SS-350M-SQL-Strict to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for saadxsalman/SS-350M-SQL-Strict to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="saadxsalman/SS-350M-SQL-Strict", max_seq_length=2048, )
(Trained with Unsloth)
Browse files- model.safetensors +3 -0
model.safetensors
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