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")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("lsanochkin/rubert-finetuned-collection3") model = AutoModelForTokenClassification.from_pretrained("lsanochkin/rubert-finetuned-collection3") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:eb582e530dd3cd0741397534ac7c70df25b894106a0286139908a804ead4cc8f
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size 710916020
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