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umarkhalid96
/
t5-small-train

Summarization
Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use umarkhalid96/t5-small-train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use umarkhalid96/t5-small-train 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="umarkhalid96/t5-small-train")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("umarkhalid96/t5-small-train")
    model = AutoModelForSeq2SeqLM.from_pretrained("umarkhalid96/t5-small-train", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
t5-small-train / runs
138 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
umarkhalid96's picture
umarkhalid96
Training complete
2029840 over 4 years ago
  • Apr24_20-11-55_02dd3ac41286
    Training complete over 4 years ago
  • Apr24_23-26-37_e4e79fca2abf
    Training complete over 4 years ago
  • Apr24_23-55-52_e4e79fca2abf
    Training complete over 4 years ago
  • Apr24_23-59-16_e4e79fca2abf
    Training complete over 4 years ago
  • Apr25_00-17-33_e4e79fca2abf
    Training complete over 4 years ago
  • Apr29_07-20-19_670d8ea97878
    Training complete over 4 years ago
  • Apr29_11-12-36_5022f054760b
    Training complete over 4 years ago
  • Apr29_12-28-07_6b8ad0272f67
    Training complete over 4 years ago