Instructions to use Mathilda/T5-paraphrasing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mathilda/T5-paraphrasing with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Mathilda/T5-paraphrasing") model = AutoModelForSeq2SeqLM.from_pretrained("Mathilda/T5-paraphrasing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f303bdafb871e6ad803e070205b4657b3284d5f5cd0551cffe2aeb2ac739afdd
- Size of remote file:
- 242 MB
- SHA256:
- 209d4d728f9cc4f07690120bc3112509c587cb545a90be99a2e900ab800cdd52
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.