Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
xlm-roberta
punctuation prediction
punctuation
Instructions to use oliverguhr/fullstop-punctuation-multilingual-sonar-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oliverguhr/fullstop-punctuation-multilingual-sonar-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="oliverguhr/fullstop-punctuation-multilingual-sonar-base")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("oliverguhr/fullstop-punctuation-multilingual-sonar-base") model = AutoModelForTokenClassification.from_pretrained("oliverguhr/fullstop-punctuation-multilingual-sonar-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b441feed48f823d5424814f708942a3e560b6eb1efb5248fdff03de2ab193d23
- Size of remote file:
- 1.11 GB
- SHA256:
- a21e4f48b6e132aba56ccd0e156ea5963867e55e49c73a12d3049adc7fa162e9
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