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WyattMiller
/
Mod4Team5

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

Instructions to use WyattMiller/Mod4Team5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use WyattMiller/Mod4Team5 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="WyattMiller/Mod4Team5")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("WyattMiller/Mod4Team5")
    model = AutoModelForSequenceClassification.from_pretrained("WyattMiller/Mod4Team5")
  • Notebooks
  • Google Colab
  • Kaggle
Mod4Team5
434 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
WyattMiller's picture
WyattMiller
Upload BertForSequenceClassification
be40145 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.17 kB
    Upload tokenizer almost 2 years ago
  • config.json
    775 Bytes
    Upload BertForSequenceClassification almost 2 years ago
  • model.safetensors
    433 MB
    xet
    Upload BertForSequenceClassification almost 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer almost 2 years ago
  • tokenizer.json
    669 kB
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    1.19 kB
    Upload tokenizer almost 2 years ago
  • vocab.txt
    213 kB
    Upload tokenizer almost 2 years ago