Instructions to use taiypeo/bart-large-xsum-sentence-paraphrased-10-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-10-cnt-supervised-basic with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("taiypeo/bart-large-xsum-sentence-paraphrased-10-cnt-supervised-basic") model = AutoModelForSeq2SeqLM.from_pretrained("taiypeo/bart-large-xsum-sentence-paraphrased-10-cnt-supervised-basic") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1c7b1ec69cf94394ab7114b250f9230a12153cf7085c1bbbcc63279036e862b
- Size of remote file:
- 1.63 GB
- SHA256:
- 21126a88a103412be6f94368386a038c91f1272e7adfbfa8bd64e38e1543b894
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