Instructions to use zbigi/bart-base-summarization-medical_on_cnn-51 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use zbigi/bart-base-summarization-medical_on_cnn-51 with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("facebook/bart-base") model = PeftModel.from_pretrained(base_model, "zbigi/bart-base-summarization-medical_on_cnn-51") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a451a989077c417d12936cbe5a9e6c5ee23eecdf27013c08f74af06ee9c9da0e
- Size of remote file:
- 5.37 kB
- SHA256:
- f28a9b9d7695038da20961698a64a1feb3ae087a251b0710630a6ec71b730c97
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.