Instructions to use kredor/punctuate-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kredor/punctuate-all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kredor/punctuate-all")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kredor/punctuate-all") model = AutoModelForTokenClassification.from_pretrained("kredor/punctuate-all") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d87d4bee93fe997ffc72cdbc281972f9df8dcf2f99e0f848a94229493605795f
- Size of remote file:
- 1.11 GB
- SHA256:
- 9aec7aa51b4f8622be527ec668505d748932cdfb177a774f3f7fd204e01dcbae
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