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edloginovad
/
tinybert

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use edloginovad/tinybert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="edloginovad/tinybert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("edloginovad/tinybert")
    model = AutoModelForSequenceClassification.from_pretrained("edloginovad/tinybert")
  • Notebooks
  • Google Colab
  • Kaggle
tinybert
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  • 1 contributor
History: 67 commits
edloginovad's picture
edloginovad
Model save
b66c271 verified 6 months ago
  • evaluation_results
    Training in progress, step 5 7 months ago
  • evaluation_results_en
    Training in progress, step 1 7 months ago
  • logs
    Model save 6 months ago
  • training_artifacts
    Model save 6 months ago
  • .gitattributes
    2.19 kB
    Training in progress, step 5 7 months ago
  • README.md
    2.41 kB
    Model save 6 months ago
  • added_tokens.json
    124 Bytes
    Training in progress, step 1 8 months ago
  • config.json
    865 Bytes
    Training in progress, step 1 8 months ago
  • model.safetensors
    46.6 MB
    xet
    Model save 6 months ago
  • special_tokens_map.json
    695 Bytes
    Training in progress, step 1 8 months ago
  • tokenizer.json
    670 kB
    Training in progress, step 1 8 months ago
  • tokenizer_config.json
    2.45 kB
    Training in progress, step 1 8 months ago
  • training_args.bin
    5.24 kB
    xet
    Training in progress, step 1 7 months ago
  • vocab.txt
    213 kB
    Training in progress, step 1 8 months ago