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google-t5
/
t5-large

Translation
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
Safetensors
t5
text2text-generation
summarization
text-generation-inference
Model card Files Files and versions
xet
Community
21

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

  • Libraries
  • Transformers

    How to use google-t5/t5-large with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "translation" 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("translation", model="google-t5/t5-large")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("google-t5/t5-large")
    model = AutoModelForSeq2SeqLM.from_pretrained("google-t5/t5-large")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
t5-large
8.86 GB
Ctrl+K
Ctrl+K
  • 11 contributors
History: 18 commits
lewtun's picture
lewtun HF Staff
Add evaluation results on xsum dataset
46060f7 almost 4 years ago
  • .gitattributes
    391 Bytes
    allow flax almost 5 years ago
  • README.md
    4.34 kB
    Add evaluation results on xsum dataset almost 4 years ago
  • config.json
    1.2 kB
    Update config.json about 6 years ago
  • flax_model.msgpack
    2.95 GB
    xet
    add flax over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    2.95 GB
    xet
    Update pytorch_model.bin over 6 years ago
  • spiece.model
    792 kB
    Add tokenizer files over 5 years ago
  • tf_model.h5
    2.95 GB
    xet
    Update tf_model.h5 over 6 years ago
  • tokenizer.json
    1.39 MB
    Update tokenizer.json over 5 years ago