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:
- 582f20010e200113f742c78c054a075032bcc929e96542b4d7afa1f2f59b249b
- Size of remote file:
- 3.45 kB
- SHA256:
- 4aa11249e50e4e90191dc89c4d3532bb2deeb57ab331edfbc617bb62bb645fff
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