Instructions to use speeqo/bert-restore-punctuation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use speeqo/bert-restore-punctuation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="speeqo/bert-restore-punctuation")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("speeqo/bert-restore-punctuation") model = AutoModelForTokenClassification.from_pretrained("speeqo/bert-restore-punctuation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from speeqo/bert-restore-punctuation: direct link, hf CLI and curl.
- Browser
- Download file 871 MB
-
https://huggingface.co/speeqo/bert-restore-punctuation/resolve/refs%2Fpr%2F2/optimizer.pt
- Command line
-
hf download hf://speeqo/bert-restore-punctuation@refs/pr/2/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/speeqo/bert-restore-punctuation/resolve/refs%2Fpr%2F2/optimizer.pt
871 MB
- Xet hash:
- 841b1046dd81ec551ec26ce51af846d2269f1af98b0ef92110917a1ccee1280c
- Size of remote file:
- 871 MB
- SHA256:
- baa29e1cb9109755c6f437118966fbdeb80728f7892b2fa3560d95bb39fdc333
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