Instructions to use shuvankar77/sqlcoder7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shuvankar77/sqlcoder7 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/sqlcoder7") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-39/optimizer.pt from shuvankar77/sqlcoder7: direct link, hf CLI and curl.
- Browser
- Download file 33.7 MB
-
https://huggingface.co/shuvankar77/sqlcoder7/resolve/main/checkpoint-39/optimizer.pt
- Command line
-
hf download hf://shuvankar77/sqlcoder7/checkpoint-39/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/shuvankar77/sqlcoder7/resolve/main/checkpoint-39/optimizer.pt
33.7 MB
- Xet hash:
- 9fcdf8e92f3024e2862a4c17d9016a1700451071e91ee90b1806d9de9264a9ca
- Size of remote file:
- 33.7 MB
- SHA256:
- 845f2471056082b699885699c34b5cfa80ab8a252c44947848c97056b9b3fa36
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.