Instructions to use shuvankar77/sqlcoder10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shuvankar77/sqlcoder10 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("defog/sqlcoder-7b-2") model = PeftModel.from_pretrained(base_model, "shuvankar77/sqlcoder10") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from shuvankar77/sqlcoder10: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/shuvankar77/sqlcoder10/resolve/main/training_args.bin
- Command line
-
hf download hf://shuvankar77/sqlcoder10/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/shuvankar77/sqlcoder10/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- 1568cde25be19f9a28fd02c577a8dac335fedcea3eb8cc046bc4f64a9da770c5
- Size of remote file:
- 5.56 kB
- SHA256:
- ff38c968010423bea8f4d274631804e239d5127914945c654c6ccc3af11539de
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