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:
- 656d1ee719d22d2a7c5101adaa9b97b8929d7820dc8c9afa06242dbb51afb3c6
- Size of remote file:
- 6.1 kB
- SHA256:
- 1d6c9b6a8ebf902a25f7fbd44384cf57064b3334930e434b98e259ac62a36ace
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