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:
- 26d2251a0cc8624d53826ce61b262d382bc7c92ea49ae7dd998f44ed8fcf6656
- Size of remote file:
- 17.1 MB
- SHA256:
- de3788bb2f349135f2ad2e2b10dff3cee7f23fab906a5fbdadf20bc963b05b4c
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