Instructions to use bhuvanmdev/t5-base-news-describer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bhuvanmdev/t5-base-news-describer with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google-t5/t5-base") model = PeftModel.from_pretrained(base_model, "bhuvanmdev/t5-base-news-describer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f060552951821ee98501b9ea695eaadc4a9777177f3a0e4801e0092867c302c3
- Size of remote file:
- 7.13 MB
- SHA256:
- 08d90f42fa463123f5fe5f5fe019b8ac659e48960de439b552c420c75fd16649
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.