Instructions to use shuvankar77/sqlcoder2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shuvankar77/sqlcoder2.0 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/sqlcoder2.0") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-18/optimizer.pt from shuvankar77/sqlcoder2.0: direct link, hf CLI and curl.
- Browser
- Download file 33.7 MB
-
https://huggingface.co/shuvankar77/sqlcoder2.0/resolve/main/checkpoint-18/optimizer.pt
- Command line
-
hf download hf://shuvankar77/sqlcoder2.0/checkpoint-18/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/shuvankar77/sqlcoder2.0/resolve/main/checkpoint-18/optimizer.pt
33.7 MB
- Xet hash:
- a1c0d3177d2451ff27453a71c810429aa10ae2f04b6ae34f7367f5dea24be5a6
- Size of remote file:
- 33.7 MB
- SHA256:
- d65c526744edc0b2e748f765e755bd1697e0a4da9035898269ddf6d73a694277
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.