Instructions to use taiypeo/bart-large-xsum-rouge-3-loss-differentiable-100-cnt-supervised with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taiypeo/bart-large-xsum-rouge-3-loss-differentiable-100-cnt-supervised with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("taiypeo/bart-large-xsum-rouge-3-loss-differentiable-100-cnt-supervised") model = AutoModelForSeq2SeqLM.from_pretrained("taiypeo/bart-large-xsum-rouge-3-loss-differentiable-100-cnt-supervised") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9178486ab64ebcf0234eeea9920a5c75a722aa03263da813d68c5ab095dd1965
- Size of remote file:
- 6.1 kB
- SHA256:
- 6b8f49fd85fa5f2477bea2f0813a8b8fc3c49e947c5422ef1913381b3ec9b95c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.