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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload training_args.bin with git-lfs
Browse files- training_args.bin +3 -0
training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:db9778142569a2ab6ca3f0bdf83b6385c285864c88fd708c129f4be1006e3a72
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size 3183
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