Instructions to use taiypeo/bart-large-xsum-sentence-paraphrased-100-cnt-supervised-basic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taiypeo/bart-large-xsum-sentence-paraphrased-100-cnt-supervised-basic with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("taiypeo/bart-large-xsum-sentence-paraphrased-100-cnt-supervised-basic") model = AutoModelForSeq2SeqLM.from_pretrained("taiypeo/bart-large-xsum-sentence-paraphrased-100-cnt-supervised-basic") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10d2d5fcaf3067ec0833a24c52b76e99eb0a983b8bb9bd2dd171f16ae61152d1
- Size of remote file:
- 1.63 GB
- SHA256:
- 02b0c245fd5ab892e5c738b1b22bcfc8cdb34f45567b2d5e5e86694c92a64970
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