Instructions to use osbm/protbert-finetuned-CAFA5-1000-labels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use osbm/protbert-finetuned-CAFA5-1000-labels with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="osbm/protbert-finetuned-CAFA5-1000-labels")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("osbm/protbert-finetuned-CAFA5-1000-labels") model = AutoModelForSequenceClassification.from_pretrained("osbm/protbert-finetuned-CAFA5-1000-labels") - Notebooks
- Google Colab
- Kaggle
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