Instructions to use seduerr/t5-pawraphrase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seduerr/t5-pawraphrase with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("seduerr/t5-pawraphrase") model = AutoModelForSeq2SeqLM.from_pretrained("seduerr/t5-pawraphrase", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2cb91e8707ffb7fb1db35fd9703eb50478bf09fce82bd64a35ccc237e8cd4f37
- Size of remote file:
- 892 MB
- SHA256:
- 235dbcb2d8c147a8bec436718e2953d0f7b15277490283a9e39d694ed82b1ccb
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