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
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results: []
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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model-index:
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- name: rubert-base-cased-token
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results: []
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- text: >-
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Однажды я посетил прекрасный городок в горах. На его улицах росли
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удивительные цветы.
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example_title: Example_1
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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