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

  • Log In
  • Sign Up

Wimflorijn
/
t5-pretrained

Feature Extraction
Transformers
PyTorch
google-tensorflow TensorFlow
t5
generated_from_keras_callback
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use Wimflorijn/t5-pretrained with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Wimflorijn/t5-pretrained")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Wimflorijn/t5-pretrained")
    model = AutoModel.from_pretrained("Wimflorijn/t5-pretrained")
  • Notebooks
  • Google Colab
  • Kaggle
t5-pretrained
418 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
Wimflorijn's picture
Wimflorijn
Delete special_tokens_map.json
3addab7 verified almost 2 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    862 Bytes
    Upload model almost 2 years ago
  • config.json
    1.59 kB
    Upload model almost 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    193 MB
    xet
    Upload model almost 2 years ago
  • tf_model.h5
    225 MB
    xet
    Upload model almost 2 years ago