Instructions to use auday/paraphraser_model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use auday/paraphraser_model2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("auday/paraphraser_model2") model = AutoModelForSeq2SeqLM.from_pretrained("auday/paraphraser_model2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd41fa234444a933be6f57062ce6c8d7961cc750c8975c86e83f4936dbb3d4f2
- Size of remote file:
- 892 MB
- SHA256:
- e9802bb15d57b5a7f74d02ba06f16694989397e8c838606806cf8d2fe3c026bb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.