Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
Russian
bert
generated-from-trainer
restore_punctuation
Instructions to use markusiko/rubert-base-punctuation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use markusiko/rubert-base-punctuation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="markusiko/rubert-base-punctuation")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("markusiko/rubert-base-punctuation") model = AutoModelForTokenClassification.from_pretrained("markusiko/rubert-base-punctuation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4b15e3866deb54b7ffe0f565492bc0046c71e3ff532b739307139bb11e2604f
- Size of remote file:
- 711 MB
- SHA256:
- 7a46beea50b1ea85ddb2068d4421c3ce7ddd7df0206b76d396077eb3dde44299
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