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 training_args.bin from softcatala/fullstop-catalan-punctuation-prediction: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/softcatala/fullstop-catalan-punctuation-prediction/resolve/main/training_args.bin
- Command line
-
hf download hf://softcatala/fullstop-catalan-punctuation-prediction/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/softcatala/fullstop-catalan-punctuation-prediction/resolve/main/training_args.bin
3.06 kB
- Xet hash:
- 44c435e6f3cea78d08996fc132feec7febc55119464aa54a55c77e8aa52f0d51
- Size of remote file:
- 3.06 kB
- SHA256:
- 77b24ee0640dbe96398cb1839ae9e273e1bd8c99793cdd62cd5e063b7f0a9f68
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