Instructions to use SwatiM/sql_phi3_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SwatiM/sql_phi3_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SwatiM/sql_phi3_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from SwatiM/sql_phi3_model: direct link, hf CLI and curl.
- Browser
- Download file 239 MB
-
https://huggingface.co/SwatiM/sql_phi3_model/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://SwatiM/sql_phi3_model/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/SwatiM/sql_phi3_model/resolve/main/adapter_model.safetensors
239 MB
- Xet hash:
- cb71003d2b30fcda0948a700d41f7f3797d3c4f1999554f02e620f6b1c934c96
- Size of remote file:
- 239 MB
- SHA256:
- 40bc79749608715217cad46cea9bd12c09d05967f4a9791d77ca3923f2ec4f74
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.