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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# rubert-base-cased-token
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This model is a fine-tuned version of [DeepPavlov/rubert-base-cased](https://huggingface.co/DeepPavlov/rubert-base-cased) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.2595
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- Precision: 0.9304
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# rubert-base-cased-token
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This model is a fine-tuned version of [DeepPavlov/rubert-base-cased](https://huggingface.co/DeepPavlov/rubert-base-cased) on the OpenCorpora dataset [opencorpora.org](http://opencorpora.org/).
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It achieves the following results on the evaluation set:
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- Loss: 0.2595
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- Precision: 0.9304
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