Instructions to use Alvenir/bert-punct-restoration-da with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alvenir/bert-punct-restoration-da with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Alvenir/bert-punct-restoration-da")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Alvenir/bert-punct-restoration-da") model = AutoModelForTokenClassification.from_pretrained("Alvenir/bert-punct-restoration-da") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9d791da1bed761bb82d12ff4ef49e7c86370ee7d36b3f248978a00000127e97
- Size of remote file:
- 440 MB
- SHA256:
- 390d69b092e6a78fcf50797e55bd7c402aec4d8c18dbb4fa4dcabc801ca381f1
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