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audgns
/
model_output

Text Classification
Transformers
TensorBoard
Safetensors
bert
Lee
10_class
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use audgns/model_output with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="audgns/model_output")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("audgns/model_output")
    model = AutoModelForSequenceClassification.from_pretrained("audgns/model_output")
  • Notebooks
  • Google Colab
  • Kaggle
model_output / runs
27.4 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
audgns's picture
audgns
audgns
9291e37 verified over 1 year ago
  • Feb11_05-34-19_293c2c413125
    audgns over 1 year ago
  • Oct07_08-40-57_f42016bab0fd
    audgns over 1 year ago