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OpenMatch
/
t5-ance

Feature Extraction
Transformers
PyTorch
Safetensors
t5
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use OpenMatch/t5-ance with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="OpenMatch/t5-ance")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("OpenMatch/t5-ance")
    model = AutoModel.from_pretrained("OpenMatch/t5-ance")
  • Notebooks
  • Google Colab
  • Kaggle
t5-ance
1.78 GB
Ctrl+K
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  • 2 contributors
History: 5 commits
yushi's picture
yushi
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
bf70ee3 almost 3 years ago
  • .gitattributes
    1.43 kB
    initial commit over 3 years ago
  • README.md
    618 Bytes
    Update README.md over 3 years ago
  • config.json
    1.5 kB
    Upload 5 files over 3 years ago
  • model.safetensors
    892 MB
    xet
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    892 MB
    xet
    Upload 5 files over 3 years ago
  • special_tokens_map.json
    1.79 kB
    Upload 5 files over 3 years ago
  • spiece.model
    792 kB
    xet
    Upload 5 files over 3 years ago
  • tokenizer_config.json
    1.97 kB
    Upload 5 files over 3 years ago