Instructions to use softcatala/fullstop-catalan-punctuation-prediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use softcatala/fullstop-catalan-punctuation-prediction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="softcatala/fullstop-catalan-punctuation-prediction")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("softcatala/fullstop-catalan-punctuation-prediction") model = AutoModelForTokenClassification.from_pretrained("softcatala/fullstop-catalan-punctuation-prediction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from softcatala/fullstop-catalan-punctuation-prediction: direct link, hf CLI and curl.
- Browser
- Download file 502 MB
-
https://huggingface.co/softcatala/fullstop-catalan-punctuation-prediction/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://softcatala/fullstop-catalan-punctuation-prediction/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/softcatala/fullstop-catalan-punctuation-prediction/resolve/main/pytorch_model.bin
502 MB
- Xet hash:
- 150eb719d445d830bda240220dd09194708bf69f7add9a23971f2d3e7c1f72d4
- Size of remote file:
- 502 MB
- SHA256:
- a6bcb1b0487ab93178a5ff776672c75415ac7a1cb52d3f1a941ca89d28c32b5d
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