Token Classification
Transformers
PyTorch
TensorFlow
TensorBoard
Safetensors
Russian
bert
PyTorch
Transformers
Instructions to use bond005/rubert-multiconer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bond005/rubert-multiconer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bond005/rubert-multiconer")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bond005/rubert-multiconer") model = AutoModelForTokenClassification.from_pretrained("bond005/rubert-multiconer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b60600136358b401ec491adf0cc85422f9b047317b73d33d35604c1c110e80df
- Size of remote file:
- 709 MB
- SHA256:
- b32ed2d469fabcd75fdf377c6fa377e9f6a0af846252da9250973c9355994afd
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