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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Gerwin/bert-for-pac") model = AutoModelForSequenceClassification.from_pretrained("Gerwin/bert-for-pac", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Dutch Fine-Tuned BERT For Active/Passive Voice Classification.
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Bedrijvende en Lijdende vorm classificatie.
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This model is fine-tuned on BERTje (https://github.com/wietsedv/bertje) for recognizing passive and active voice in Dutch sentences.
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Dit model is gefinetuned op BERTje om bedrijvende en lijdende vorm te vinden in zinnen.
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Github with basic implementation coming soon
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Dutch Fine-Tuned BERT For Active/Passive Voice Classification. (Bedrijvende en Lijdende vorm classificatie)
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This model is fine-tuned on BERTje (https://github.com/wietsedv/bertje) for recognizing passive and active voice in Dutch sentences.
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+
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Dit model is gefinetuned op BERTje om bedrijvende en lijdende vorm te vinden in zinnen.
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Github with basic implementation coming soon.
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