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michelleli99
/
test_classifier

Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use michelleli99/test_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use michelleli99/test_classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="michelleli99/test_classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("michelleli99/test_classifier")
    model = AutoModelForSequenceClassification.from_pretrained("michelleli99/test_classifier")
  • Notebooks
  • Google Colab
  • Kaggle
test_classifier
332 MB
Ctrl+K
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  • 2 contributors
History: 8 commits
librarian-bot's picture
librarian-bot
Librarian Bot: Add base_model information to model
a89a13b over 2 years ago
  • .gitattributes
    1.43 kB
    initial commit over 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 500 over 3 years ago
  • README.md
    1.58 kB
    Librarian Bot: Add base_model information to model over 2 years ago
  • config.json
    1.09 kB
    Training in progress, step 500 over 3 years ago
  • merges.txt
    456 kB
    Upload tokenizer over 3 years ago
  • pytorch_model.bin
    329 MB
    xet
    End of training over 3 years ago
  • special_tokens_map.json
    280 Bytes
    Upload tokenizer over 3 years ago
  • tokenizer.json
    2.11 MB
    Upload tokenizer over 3 years ago
  • tokenizer_config.json
    413 Bytes
    Upload tokenizer over 3 years ago
  • training_args.bin
    3.38 kB
    xet
    Training in progress, step 500 over 3 years ago
  • vocab.json
    798 kB
    Upload tokenizer over 3 years ago