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hfvladkon
/
bert_token_classification_detector

Token Classification
Transformers
Safetensors
Russian
modernbert
qwen
error-detection
Model card Files Files and versions
xet
Community

Instructions to use hfvladkon/bert_token_classification_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hfvladkon/bert_token_classification_detector with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="hfvladkon/bert_token_classification_detector")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("hfvladkon/bert_token_classification_detector")
    model = AutoModelForTokenClassification.from_pretrained("hfvladkon/bert_token_classification_detector", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bert_token_classification_detector
630 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
hfvladkon's picture
hfvladkon
Add validation/test probabilities, metrics and predictions for this model
5a4aaa1 9 days ago
  • code
    Upload main defect tagger (weights, tokenizer, inference code, card) 10 days ago
  • eval
    Add validation/test probabilities, metrics and predictions for this model 9 days ago
  • qwen_tokenizer
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  • .gitattributes
    1.59 kB
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  • README.md
    6.58 kB
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  • config.json
    3.63 kB
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  • model.safetensors
    598 MB
    xet
    Upload main defect tagger (weights, tokenizer, inference code, card) 10 days ago
  • tokenizer.json
    4.75 MB
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  • tokenizer_config.json
    407 Bytes
    Upload main defect tagger (weights, tokenizer, inference code, card) 10 days ago