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

  • Log In
  • Sign Up

fxmarty
/
tiny-random-working-LongT5Model

Feature Extraction
Transformers
PyTorch
longt5
Model card Files Files and versions
xet
Community
2

Instructions to use fxmarty/tiny-random-working-LongT5Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use fxmarty/tiny-random-working-LongT5Model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="fxmarty/tiny-random-working-LongT5Model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("fxmarty/tiny-random-working-LongT5Model")
    model = AutoModel.from_pretrained("fxmarty/tiny-random-working-LongT5Model")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-random-working-LongT5Model
968 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
Félix Marty
add model
4eca5d7 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    21 Bytes
    initial commit about 3 years ago
  • config.json
    749 Bytes
    add model about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    547 kB
    xet
    add model about 3 years ago
  • special_tokens_map.json
    2.2 kB
    add model about 3 years ago
  • tokenizer.json
    414 kB
    add model about 3 years ago
  • tokenizer_config.json
    2.39 kB
    add model about 3 years ago