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hf-internal-testing
/
tiny-random-t5-v1.1

Feature Extraction
Transformers
PyTorch
google-tensorflow TensorFlow
Safetensors
t5
Model card Files Files and versions
xet
Community
2

Instructions to use hf-internal-testing/tiny-random-t5-v1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hf-internal-testing/tiny-random-t5-v1.1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-t5-v1.1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-t5-v1.1")
    model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-t5-v1.1")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-random-t5-v1.1
11.7 MB
Ctrl+K
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  • 2 contributors
History: 3 commits
Xenova's picture
Xenova HF Staff
[Awaiting approval] Upload ONNX weights
65028b2 verified about 2 years ago
  • onnx
    [Awaiting approval] Upload ONNX weights about 2 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • config.json
    563 Bytes
    Initial commit over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    661 kB
    xet
    Initial commit over 4 years ago
  • special_tokens_map.json
    1.79 kB
    Initial commit over 4 years ago
  • tf_model.h5
    8.74 MB
    xet
    Initial commit over 4 years ago
  • tokenizer.json
    359 kB
    Initial commit over 4 years ago
  • tokenizer_config.json
    1.92 kB
    Initial commit over 4 years ago