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:
- eade2dd9a50f0059e8ce18e5c4b172e0e1217db3e8a0b9ad644ccfca23b55558
- Size of remote file:
- 1.63 GB
- SHA256:
- 08196867e889acaf0196193e72330336e9525f3f2673b5447676f91ea31410df
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