Instructions to use Rostlab/ProstT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rostlab/ProstT5 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="Rostlab/ProstT5")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Rostlab/ProstT5") model = AutoModelForSeq2SeqLM.from_pretrained("Rostlab/ProstT5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d43f53a85fb4ccd4b4f491ee66ffea37b4930dc008c19e1af8e7294f7e2aebf5
- Size of remote file:
- 11.3 GB
- SHA256:
- 85a7f30cbfdd6c685e31058ec0be04992df81726d8b626e5b51ef27bac32bd33
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