Token Classification
Transformers
PyTorch
TensorFlow
ONNX
Safetensors
xlm-roberta
punctuation prediction
punctuation
Instructions to use oliverguhr/fullstop-punctuation-multilang-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oliverguhr/fullstop-punctuation-multilang-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="oliverguhr/fullstop-punctuation-multilang-large")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("oliverguhr/fullstop-punctuation-multilang-large") model = AutoModelForTokenClassification.from_pretrained("oliverguhr/fullstop-punctuation-multilang-large") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a64adc58fb950f64ea8b0fea7d451bffbb16d97c72c0acf7ac8636ddd48a0668
- Size of remote file:
- 2.24 GB
- SHA256:
- b5da1fee6cc2577e3aa53cd42b796575fbf6dc507dab9c8a07f0f882c66fdde6
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