Instructions to use felflare/bert-restore-punctuation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use felflare/bert-restore-punctuation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="felflare/bert-restore-punctuation")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("felflare/bert-restore-punctuation") model = AutoModelForTokenClassification.from_pretrained("felflare/bert-restore-punctuation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 226b9f6d6f29828a843eb164ff7b37d1c642bbee7b3f4379fc8474a8ec5a503b
- Size of remote file:
- 436 MB
- SHA256:
- fb8efcdafa21bf982d03fd1aa86f95227353e7ea624ca08afe2cac7d726a8cb2
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