Instructions to use master8902/deepseek_sql_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use master8902/deepseek_sql_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("master8902/deepseek_sql_model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use master8902/deepseek_sql_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 master8902/deepseek_sql_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 master8902/deepseek_sql_model to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for master8902/deepseek_sql_model to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="master8902/deepseek_sql_model", max_seq_length=2048, )
- Xet hash:
- 6c28d8c87d5498ff77c0d40afb90c46a07c99885bae40fed1feff0418530fe5a
- Size of remote file:
- 168 MB
- SHA256:
- 989442ffc96257cbf57649623c76cfcd837213b78f8bb0fbb66e3a69b52c71f6
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