Instructions to use gijsdanoe/bertje_dva with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gijsdanoe/bertje_dva with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gijsdanoe/bertje_dva")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gijsdanoe/bertje_dva") model = AutoModelForSequenceClassification.from_pretrained("gijsdanoe/bertje_dva") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cdcc87bdf1a5f9476f388790a9a6efcb7530355ac746c9c68df124a9f8cbe9b5
- Size of remote file:
- 3.52 kB
- SHA256:
- d38643ab2caf676a566294f5f33faa63f0ce534f211719d1a856c0f9dbcaca91
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