Instructions to use OmkarB/SQL-GQL-Finetuned-with-context-multitask with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use OmkarB/SQL-GQL-Finetuned-with-context-multitask with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("Salesforce/codet5-small") model = PeftModel.from_pretrained(base_model, "OmkarB/SQL-GQL-Finetuned-with-context-multitask") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7fa8cb914de36db52c3a737bd0fde872149e838ac4db14468a7a8fad069b55f1
- Size of remote file:
- 2.39 MB
- SHA256:
- 36f713d5b5b65cda134911bf79ac172ce1a3fb70221ec62692c95a89a9f08d35
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.