Instructions to use augustinLib/KET5-Prefix-Tuning-Lbox with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use augustinLib/KET5-Prefix-Tuning-Lbox with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("KETI-AIR/ke-t5-large") model = PeftModel.from_pretrained(base_model, "augustinLib/KET5-Prefix-Tuning-Lbox") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a514ad021333a15c800cafe5d86d21576dbe8b49dc6f0de9e29a00e9aed76e2
- Size of remote file:
- 50.3 MB
- SHA256:
- 512d2f0fab19cecec2fc12295112e84380209ca0abc58ccf875906c3b2b423db
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.