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")# 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
- Xet hash:
- 150eb719d445d830bda240220dd09194708bf69f7add9a23971f2d3e7c1f72d4
- Size of remote file:
- 502 MB
- SHA256:
- a6bcb1b0487ab93178a5ff776672c75415ac7a1cb52d3f1a941ca89d28c32b5d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.