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
Commit ·
3b7ca13
1
Parent(s): e743730
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (4669a276f900e675b589ffa53739d883898ace4d)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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