Instructions to use l3thanhvuvnr/sqlcodervnr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use l3thanhvuvnr/sqlcodervnr 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, "l3thanhvuvnr/sqlcodervnr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9c823b1c4fc1e7d9ae0ae57a06f4eede715bb9b3f030196e6069516dd6dd905
- Size of remote file:
- 67.1 MB
- SHA256:
- 4639ef7860076ecf8d306adcd0e05fc81642fb14ba637e90093112ee0397ae4d
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