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danil7
/
rubert-tiny-reports-is-trash-classification

Text Classification
Transformers
Safetensors
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use danil7/rubert-tiny-reports-is-trash-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use danil7/rubert-tiny-reports-is-trash-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="danil7/rubert-tiny-reports-is-trash-classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("danil7/rubert-tiny-reports-is-trash-classification")
    model = AutoModelForSequenceClassification.from_pretrained("danil7/rubert-tiny-reports-is-trash-classification")
  • Notebooks
  • Google Colab
  • Kaggle
rubert-tiny-reports-is-trash-classification
48.1 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
danil7's picture
danil7
Upload BertForSequenceClassification
6c0c903 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    866 Bytes
    Upload BertForSequenceClassification over 2 years ago
  • model.safetensors
    47.1 MB
    xet
    Upload BertForSequenceClassification over 2 years ago
  • special_tokens_map.json
    695 Bytes
    Upload tokenizer over 2 years ago
  • tokenizer.json
    706 kB
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    1.43 kB
    Upload tokenizer over 2 years ago
  • vocab.txt
    241 kB
    Upload tokenizer over 2 years ago