Instructions to use gpol13/codet5_sparse_lora_l1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gpol13/codet5_sparse_lora_l1 with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("Salesforce/codet5-base") model = PeftModel.from_pretrained(base_model, "gpol13/codet5_sparse_lora_l1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ec5bf6edc20c8959fe35a1f925945ba755f5ce9b2fd461f71c37a5dd837ca9f
- Size of remote file:
- 5.43 kB
- SHA256:
- 5603b8ad6e5c44098ff4d1375f09416bfc133ae607756a2e0d3c0084e202b93e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.