Instructions to use Gerwin/bert-for-pac with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gerwin/bert-for-pac with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Gerwin/bert-for-pac")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Gerwin/bert-for-pac") model = AutoModelForSequenceClassification.from_pretrained("Gerwin/bert-for-pac") - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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## Dutch Fine-Tuned BERT For Passive/Active Voice Classification.
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### Lijdende en Bedrijvende vorm classificatie voor zinnen
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- passive
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license: apache-2.0
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## Dutch Fine-Tuned BERT For Passive/Active Voice Classification.
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### Lijdende en Bedrijvende vorm classificatie voor zinnen
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