Instructions to use AravindS373/1800_only_code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AravindS373/1800_only_code with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("seeklhy/OmniSQL-7B") model = PeftModel.from_pretrained(base_model, "AravindS373/1800_only_code") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e56c00cc24935a08ce3b523c87c3b1cca683b000021a2eb7beecd621237222a
- Size of remote file:
- 1.4 kB
- SHA256:
- 7573087e8f46bba0dde1ba62e4a8cfb7c027c892d5139c0b7db5a4a70240c435
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.