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glfarnold
/
results

Summarization
Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use glfarnold/results with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "summarization" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("summarization", model="glfarnold/results")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("glfarnold/results")
    model = AutoModelForSeq2SeqLM.from_pretrained("glfarnold/results")
  • Notebooks
  • Google Colab
  • Kaggle
results / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
glfarnold's picture
glfarnold
Training complete
22e7c75 verified about 2 years ago
  • Jul02_08-08-36_76a40b004207
    Training complete about 2 years ago
  • Jul02_09-13-04_edd986bfca41
    Training complete about 2 years ago
  • Jul02_09-49-09_edd986bfca41
    Training complete about 2 years ago
  • Jul02_11-53-40_2580ca073f94
    Training complete about 2 years ago