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disham993
/
electrical-classification-bert-base

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

Instructions to use disham993/electrical-classification-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use disham993/electrical-classification-bert-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="disham993/electrical-classification-bert-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("disham993/electrical-classification-bert-base")
    model = AutoModelForSequenceClassification.from_pretrained("disham993/electrical-classification-bert-base")
  • Notebooks
  • Google Colab
  • Kaggle
electrical-classification-bert-base
439 MB
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  • 1 contributor
History: 8 commits
disham993's picture
disham993
Update README.md
0773c37 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    4.19 kB
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  • config.json
    843 Bytes
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  • model.safetensors
    438 MB
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    1.22 kB
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  • vocab.txt
    232 kB
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