Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

google
/
byt5-large

Transformers
PyTorch
google-tensorflow TensorFlow
JAX
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
3

Instructions to use google/byt5-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use google/byt5-large with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("google/byt5-large")
    model = AutoModelForSeq2SeqLM.from_pretrained("google/byt5-large")
  • Notebooks
  • Google Colab
  • Kaggle
byt5-large
14.7 GB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 10 commits
joaogante's picture
joaogante
Adding generation config file(s)
ecfdcb5 over 3 years ago
  • .gitattributes
    736 Bytes
    allow flax almost 5 years ago
  • README.md
    4.23 kB
    Update README.md (#1) almost 4 years ago
  • config.json
    723 Bytes
    add tok almost 5 years ago
  • flax_model.msgpack
    4.91 GB
    xet
    upload flax model almost 5 years ago
  • generation_config.json
    147 Bytes
    Adding generation config file(s) over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    4.91 GB
    xet
    upload all byt5-large files almost 5 years ago
  • special_tokens_map.json
    2.5 kB
    add tok almost 5 years ago
  • tf_model.h5
    4.91 GB
    xet
    upload all byt5-large files almost 5 years ago
  • tokenizer_config.json
    2.59 kB
    add tok almost 5 years ago