Instructions to use st1992/bert-restore-punctuation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use st1992/bert-restore-punctuation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="st1992/bert-restore-punctuation")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("st1992/bert-restore-punctuation") model = AutoModelForTokenClassification.from_pretrained("st1992/bert-restore-punctuation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from st1992/bert-restore-punctuation: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/st1992/bert-restore-punctuation/resolve/main/training_args.bin
- Command line
-
hf download hf://st1992/bert-restore-punctuation/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/st1992/bert-restore-punctuation/resolve/main/training_args.bin
2.99 kB
- Xet hash:
- 95fce22815963e1ca5ecce8afd240227555bbdf53cf1ee8c396482e3a8eb3520
- Size of remote file:
- 2.99 kB
- SHA256:
- adf90f507e762161db2c536304e314215145aaed6db3be60a9e93ba1e68c7073
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