Instructions to use deep20998/sqlcoder-7b-2-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use deep20998/sqlcoder-7b-2-v1 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, "deep20998/sqlcoder-7b-2-v1") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-3/optimizer.pt from deep20998/sqlcoder-7b-2-v1: direct link, hf CLI and curl.
- Browser
- Download file 1.51 kB
-
https://huggingface.co/deep20998/sqlcoder-7b-2-v1/resolve/main/checkpoint-3/optimizer.pt
- Command line
-
hf download hf://deep20998/sqlcoder-7b-2-v1/checkpoint-3/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/deep20998/sqlcoder-7b-2-v1/resolve/main/checkpoint-3/optimizer.pt
1.51 kB
- Xet hash:
- b44e2c5a26b29ed90173d32b4d287e39203845366afd393e0bd29dd242c734a1
- Size of remote file:
- 1.51 kB
- SHA256:
- 809d08e1a1159eabff6cd1f1450bf5fe9df7a2c15e316a8e1afb6c1655ddfd68
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