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:
- ce14c082d1e286f8db2298a69530ff7806e22b0d85ff05df0b3f6cfde995209f
- Size of remote file:
- 162 MB
- SHA256:
- ce47403712144ec2f62528906e7496e5be6a882e85646e113fcfae3cd909a1f7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.