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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:16bdab7034c4318da77476b567506077ba54d4033d73384e5e2fc7a08de6249f
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size 710911836
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