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IvashinMaxim
/
bert128b128l

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 IvashinMaxim/bert128b128l with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use IvashinMaxim/bert128b128l with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="IvashinMaxim/bert128b128l")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("IvashinMaxim/bert128b128l")
    model = AutoModelForSequenceClassification.from_pretrained("IvashinMaxim/bert128b128l", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bert128b128l
120 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
IvashinMaxim's picture
IvashinMaxim
End of training
fada834 verified about 2 years ago
  • runs
    End of training about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    1.49 kB
    End of training about 2 years ago
  • config.json
    981 Bytes
    End of training about 2 years ago
  • model.safetensors
    117 MB
    xet
    End of training about 2 years ago
  • special_tokens_map.json
    695 Bytes
    End of training about 2 years ago
  • tokenizer.json
    2.41 MB
    End of training about 2 years ago
  • tokenizer_config.json
    1.43 kB
    End of training about 2 years ago
  • training_args.bin
    5.11 kB
    xet
    End of training about 2 years ago
  • vocab.txt
    1.08 MB
    End of training about 2 years ago