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slamos
/
bc-models-bert

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

Instructions to use slamos/bc-models-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use slamos/bc-models-bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="slamos/bc-models-bert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("slamos/bc-models-bert")
    model = AutoModelForSequenceClassification.from_pretrained("slamos/bc-models-bert")
  • Notebooks
  • Google Colab
  • Kaggle
bc-models-bert
878 MB
Ctrl+K
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  • 1 contributor
History: 9 commits
slamos's picture
slamos
Upload train_config.json with huggingface_hub
94aa955 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    5.17 kB
    Upload BertForSequenceClassification about 1 month ago
  • config.json
    812 Bytes
    Upload BertForSequenceClassification about 1 month ago
  • model.onnx
    439 MB
    xet
    Upload model.onnx with huggingface_hub about 1 month ago
  • model.safetensors
    438 MB
    xet
    Upload BertForSequenceClassification about 1 month ago
  • special_tokens_map.json
    695 Bytes
    Upload tokenizer about 1 month ago
  • tokenizer.json
    712 kB
    Upload tokenizer about 1 month ago
  • tokenizer_config.json
    1.41 kB
    Upload tokenizer about 1 month ago
  • train_config.json
    415 Bytes
    Upload train_config.json with huggingface_hub about 1 month ago
  • vocab.txt
    232 kB
    Upload tokenizer about 1 month ago