Instructions to use shuvankar77/sqlcoder-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shuvankar77/sqlcoder-5 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/sqlcoder-5") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from shuvankar77/sqlcoder-5: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/shuvankar77/sqlcoder-5/resolve/main/training_args.bin
- Command line
-
hf download hf://shuvankar77/sqlcoder-5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/shuvankar77/sqlcoder-5/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- b8b82bc24c47b093366f4ae9e54819153bf70e35cb869d55efbf21e1204178e6
- Size of remote file:
- 5.56 kB
- SHA256:
- b1c6e0e9f4d42df568e88d9d1f1fed0fb76db2eb950dfd42c202e2d45139d974
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