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:
- 51b4876b4d7edebe64509f3115de0941d0d6289c06225c5adc896e1c0ee61567
- Size of remote file:
- 238 kB
- SHA256:
- 74da7b4afcde53faa570114b530c726135bdfcdb813dec3abfb27f9d44db7324
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