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/scheduler.pt from shuvankar77/sqlcoder7: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/shuvankar77/sqlcoder7/resolve/main/checkpoint-39/scheduler.pt
- Command line
-
hf download hf://shuvankar77/sqlcoder7/checkpoint-39/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/shuvankar77/sqlcoder7/resolve/main/checkpoint-39/scheduler.pt
1.06 kB
- Xet hash:
- 649ca26c018a01a32bf50deccc83b759708eb3f9d0f9a86eb02d9149d403734a
- Size of remote file:
- 1.06 kB
- SHA256:
- f2685023609357b3c71d494f9f2b08d0b04f89f15281eccb4d799be8cf74d722
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.