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skywalker290
/
Bert-Stack-Exchange

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

Instructions to use skywalker290/Bert-Stack-Exchange with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use skywalker290/Bert-Stack-Exchange with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="skywalker290/Bert-Stack-Exchange")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("skywalker290/Bert-Stack-Exchange")
    model = AutoModelForSequenceClassification.from_pretrained("skywalker290/Bert-Stack-Exchange")
  • Notebooks
  • Google Colab
  • Kaggle
Bert-Stack-Exchange
480 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
skywalker290's picture
skywalker290
Upload tokenizer
5158a76 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.17 kB
    Upload BertForSequenceClassification about 1 year ago
  • config.json
    667 kB
    Upload BertForSequenceClassification about 1 year ago
  • model.safetensors
    478 MB
    xet
    Upload BertForSequenceClassification about 1 year ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 1 year ago
  • tokenizer.json
    712 kB
    Upload tokenizer about 1 year ago
  • tokenizer_config.json
    1.22 kB
    Upload tokenizer about 1 year ago
  • vocab.txt
    232 kB
    Upload tokenizer about 1 year ago