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:
- 5c229742fba07f8f69ed12d94eebb421e5821e91a3b109778decfae32dc6663a
- Size of remote file:
- 880 MB
- SHA256:
- 2eafe6b8b2a7d9e8b2cd4c7056d3294a1683e06e805815cc1ae733b0851c6713
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