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aekupor
/
model_utterance

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

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

  • Libraries
  • Transformers

    How to use aekupor/model_utterance with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="aekupor/model_utterance")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("aekupor/model_utterance")
    model = AutoModelForSequenceClassification.from_pretrained("aekupor/model_utterance")
  • Notebooks
  • Google Colab
  • Kaggle
model_utterance / __pycache__
Ctrl+K
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  • 2 contributors
History: 1 commit
Ashlee Kupor
Add model
a7d2f40 about 3 years ago
  • handler.cpython-310.pyc
    4.56 kB
    Add model about 3 years ago
  • handler.cpython-311.pyc
    7.8 kB
    Add model about 3 years ago