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

  • Log In
  • Sign Up

pere
/
tt5x-base

Feature Extraction
Transformers
JAX
t5
Model card Files Files and versions
xet
Community

Instructions to use pere/tt5x-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pere/tt5x-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="pere/tt5x-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("pere/tt5x-base")
    model = AutoModel.from_pretrained("pere/tt5x-base")
  • Notebooks
  • Google Colab
  • Kaggle
tt5x-base
892 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
pere's picture
pere
first
55ebfd1 about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit about 4 years ago
  • config.json
    690 Bytes
    first about 4 years ago
  • flax_model.msgpack
    892 MB
    xet
    first about 4 years ago