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
Commit ·
ea96e8d
1
Parent(s): 648ea67
Adds new dataset URL to the model card
Browse files
README.md
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### Training Data
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[Pre-training data (3Di+AA sequences for 17M proteins)](https://huggingface.co/datasets/
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### Training Procedure
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### Training Data
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[Pre-training data (3Di+AA sequences for 17M proteins)](https://huggingface.co/datasets/Rostlab/ProstT5Dataset)
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### Training Procedure
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