Instructions to use inkoziev/paraphraser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inkoziev/paraphraser with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("inkoziev/paraphraser") model = AutoModel.from_pretrained("inkoziev/paraphraser") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b003c65a3af281bd3ae4e3ba552f7e77179df1990ddecc8ad586f99a94c8048d
- Size of remote file:
- 3.14 GB
- SHA256:
- 52a7c6a81e2512f942934a3878d1ac324cf756b18dad30be2a6887e6204cdd66
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.