Instructions to use theojolliffe/bart-paraphrase-v4-e1-feedback-e4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use theojolliffe/bart-paraphrase-v4-e1-feedback-e4 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("theojolliffe/bart-paraphrase-v4-e1-feedback-e4") model = AutoModelForSeq2SeqLM.from_pretrained("theojolliffe/bart-paraphrase-v4-e1-feedback-e4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 461a11fefafba399881ef8f67aa10ac7bb0d1d9b810d1a1acc80f35bfb37ae51
- Size of remote file:
- 2.99 kB
- SHA256:
- e6f81d9ad943e9e85f5199cbdf2b75c3e10d210083a6c0889c0d78aca05f6695
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.