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google-t5
/
t5-base

Translation
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
Rust
Safetensors
t5
text2text-generation
summarization
text-generation-inference
Model card Files Files and versions
xet
Community
39

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

  • Libraries
  • Transformers

    How to use google-t5/t5-base 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-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("google-t5/t5-base")
    model = AutoModelForSeq2SeqLM.from_pretrained("google-t5/t5-base")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
t5-base
4.46 GB
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  • 10 contributors
History: 27 commits
biltz's picture
biltz
Update README.md
ba00c5d verified 6 months ago
  • .gitattributes
    537 Bytes
    Adding `safetensors` variant of this model (#11) about 3 years ago
  • README.md
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  • config.json
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  • flax_model.msgpack
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  • generation_config.json
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  • model.safetensors
    892 MB
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    892 MB
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  • rust_model.ot
    892 MB
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    addition of Rust model over 5 years ago
  • spiece.model
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  • tf_model.h5
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  • tokenizer.json
    1.39 MB
    Update tokenizer.json over 5 years ago