Instructions to use shuvankar77/sqlcoder-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shuvankar77/sqlcoder-4 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/sqlcoder-4") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from shuvankar77/sqlcoder-4: direct link, hf CLI and curl.
- Browser
- Download file 134 MB
-
https://huggingface.co/shuvankar77/sqlcoder-4/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://shuvankar77/sqlcoder-4/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/shuvankar77/sqlcoder-4/resolve/main/adapter_model.safetensors
134 MB
- Xet hash:
- 6c7ebef8e48ea8ee09f17a56e73451d719873928dc05a2f04dcbc915276763c2
- Size of remote file:
- 134 MB
- SHA256:
- d01b549d27f0f00d7d73b5b065972f5376080afc953a1a8624ea861327ae2f24
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.