Instructions to use shuvankar77/sqlcoder1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shuvankar77/sqlcoder1 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/sqlcoder1") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from shuvankar77/sqlcoder1: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/shuvankar77/sqlcoder1/resolve/main/training_args.bin
- Command line
-
hf download hf://shuvankar77/sqlcoder1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/shuvankar77/sqlcoder1/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- deb5140d2db75e52902edd5b8aa1d816cfc6c0948bfbcdeb07ce490f5e707c66
- Size of remote file:
- 5.56 kB
- SHA256:
- 396064312f53e8fb484bbbec861098f14a88c3d27d50460221e33e1573a20bb3
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