Instructions to use eliza555beth2002/DeepSeek-R1-Distill-Text2SQL-OneEpoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eliza555beth2002/DeepSeek-R1-Distill-Text2SQL-OneEpoch with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("eliza555beth2002/DeepSeek-R1-Distill-Text2SQL-OneEpoch", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use eliza555beth2002/DeepSeek-R1-Distill-Text2SQL-OneEpoch 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 eliza555beth2002/DeepSeek-R1-Distill-Text2SQL-OneEpoch 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 eliza555beth2002/DeepSeek-R1-Distill-Text2SQL-OneEpoch to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for eliza555beth2002/DeepSeek-R1-Distill-Text2SQL-OneEpoch to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="eliza555beth2002/DeepSeek-R1-Distill-Text2SQL-OneEpoch", max_seq_length=2048, )
- Xet hash:
- 1d6fdb59621c78cb7841778e7b03ea3bf7e2d805f690e044469396eba1020f1f
- Size of remote file:
- 168 MB
- SHA256:
- a0e9bb54ecde614bde5fbd9de9e871aa4e2fdf6477cb3923f83048ff4cd03104
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.