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:
- c0f30e2e2d3adc1c2fae9690e21e33a2e6510f63a896b37517f718861eb110c2
- Size of remote file:
- 4.92 kB
- SHA256:
- fdfd945eb0a22bc0cda7271e67405fc147b3df803afa2d77a09736318f208b36
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