Instructions to use shuvankar77/sqlcoder-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shuvankar77/sqlcoder-3 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-3") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from shuvankar77/sqlcoder-3: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/shuvankar77/sqlcoder-3/resolve/main/training_args.bin
- Command line
-
hf download hf://shuvankar77/sqlcoder-3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/shuvankar77/sqlcoder-3/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- 793194804c00b5c74bb6316fb94ec5d0814cb8042154cf9b578b9c77914ca924
- Size of remote file:
- 5.56 kB
- SHA256:
- 2c9d9aa1db0502408d1b966aa0993c1f57c13cae6efb45308206fe4f7f25a2da
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