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:
- 6d4aa2d57753a4825481ded49888800e47ff6719001d4bf91d835e93bca55c1a
- Size of remote file:
- 3.12 kB
- SHA256:
- 39e2136cf1f522fec134a37b014f35805bc522189fc90d09abac212a2aebd150
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