Instructions to use Devmapall/paraphrase-quora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Devmapall/paraphrase-quora with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Devmapall/paraphrase-quora") model = AutoModelForSeq2SeqLM.from_pretrained("Devmapall/paraphrase-quora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a46f6ad4f59a9efef828e621672f5fafb07baac2e599ca27c83d0ea715a1600
- Size of remote file:
- 892 MB
- SHA256:
- 8ee6fe615c36eb1b3d9a2273ccc1b601cc8c2fdf70d22d5acf876ac6aac91475
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.