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:
- 2af01ec1583cae188bc1417c69fd0bf05d592e6f45a68c5b8996eed9e906a4c3
- Size of remote file:
- 1.63 GB
- SHA256:
- 80f4530ffcf4f54f4b8dc7f144adb319997c6cd21ca8fefc868c86effb066297
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