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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e42c15eb7c626465b24b036408065e18f279ef15e3591f9fe9bd49edb9f0f0bc
- Size of remote file:
- 623 Bytes
- SHA256:
- e8d1cafe5c922097a8c7665034532ae4c68308a16efae19e8e580e3e17372405
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