Instructions to use tdopierre/ProtAugment-ParaphraseGenerator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tdopierre/ProtAugment-ParaphraseGenerator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tdopierre/ProtAugment-ParaphraseGenerator") model = AutoModelForSeq2SeqLM.from_pretrained("tdopierre/ProtAugment-ParaphraseGenerator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec65e099ecb17b8c2b8d98e2fa9a56cf555764a6ed0fc3d258d4e665dcde9a74
- Size of remote file:
- 558 MB
- SHA256:
- 19e044fe7e4b2e1ab59f4e45e2ba5406f025b538070e7f0d167dbafb62536254
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