Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
Russian
bert
Generated from Trainer
Instructions to use igorktech/rubert-base-morph-tagging with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use igorktech/rubert-base-morph-tagging with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="igorktech/rubert-base-morph-tagging")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("igorktech/rubert-base-morph-tagging") model = AutoModelForTokenClassification.from_pretrained("igorktech/rubert-base-morph-tagging") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b62fe752355f3a1f63820f834c69a6f237ad3b2f76d0ce80c13a17326cb551a7
- Size of remote file:
- 709 MB
- SHA256:
- 4fcf21739721741ea5398e28cdf5c03bb0e7f8c8218fc2246ecdd3eb61c6c8d4
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