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Isaacwu
/
omicron-delta-classifier-pipeline

Text Classification
Transformers
PyTorch
google-tensorflow TensorFlow
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use Isaacwu/omicron-delta-classifier-pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Isaacwu/omicron-delta-classifier-pipeline with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Isaacwu/omicron-delta-classifier-pipeline")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Isaacwu/omicron-delta-classifier-pipeline")
    model = AutoModelForSequenceClassification.from_pretrained("Isaacwu/omicron-delta-classifier-pipeline", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
omicron-delta-classifier-pipeline
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  • 1 contributor
History: 13 commits
Isaacwu's picture
Isaacwu
Update README.md
49b766a over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    1.28 kB
    Update README.md over 3 years ago
  • config.json
    765 Bytes
    init over 3 years ago
  • merges.txt
    3.21 MB
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  • pytorch_model.bin
    167 MB
    xet
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  • special_tokens_map.json
    280 Bytes
    init over 3 years ago
  • tf_model.h5
    167 MB
    xet
    init over 3 years ago
  • tokenizer.json
    6.77 MB
    init over 3 years ago
  • tokenizer_config.json
    521 Bytes
    init over 3 years ago
  • vocab.json
    3.31 MB
    init over 3 years ago