Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use lsanochkin/rubert-finetuned-collection3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lsanochkin/rubert-finetuned-collection3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="lsanochkin/rubert-finetuned-collection3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("lsanochkin/rubert-finetuned-collection3") model = AutoModelForTokenClassification.from_pretrained("lsanochkin/rubert-finetuned-collection3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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