Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
Russian
bert
Generated from Trainer
named-entity-recognition
russian
ner
Eval Results (legacy)
Instructions to use viktoroo/sberbank-rubert-base-collection3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use viktoroo/sberbank-rubert-base-collection3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="viktoroo/sberbank-rubert-base-collection3")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("viktoroo/sberbank-rubert-base-collection3") model = AutoModelForTokenClassification.from_pretrained("viktoroo/sberbank-rubert-base-collection3") - Notebooks
- Google Colab
- Kaggle
Training complete
Browse files
pytorch_model.bin
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runs/Mar03_12-56-54_viktor-sch/events.out.tfevents.1677837429.viktor-sch.21172.0
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