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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("felflare/bert-restore-punctuation") model = AutoModelForTokenClassification.from_pretrained("felflare/bert-restore-punctuation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from felflare/bert-restore-punctuation: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/felflare/bert-restore-punctuation/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://felflare/bert-restore-punctuation/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/felflare/bert-restore-punctuation/resolve/main/pytorch_model.bin
436 MB
- Xet hash:
- 226b9f6d6f29828a843eb164ff7b37d1c642bbee7b3f4379fc8474a8ec5a503b
- Size of remote file:
- 436 MB
- SHA256:
- fb8efcdafa21bf982d03fd1aa86f95227353e7ea624ca08afe2cac7d726a8cb2
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