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:
- a69382e1ae071bbb2a057f083770a161caf245aa4979ab8d6bf5ef3acf56c4be
- Size of remote file:
- 2.35 kB
- SHA256:
- 819a2b481e39d48fcfd807d3187be85638b73fdbae6d804c1c19b90630b779bb
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