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ran
/
h1

Text Classification
Transformers
PyTorch
JAX
bert
Model card Files Files and versions
xet
Community
1

Instructions to use ran/h1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ran/h1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ran/h1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ran/h1")
    model = AutoModelForSequenceClassification.from_pretrained("ran/h1")
  • Notebooks
  • Google Colab
  • Kaggle
h1
876 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
patrickvonplaten's picture
patrickvonplaten
upload flax model
8f2856d almost 5 years ago
  • .gitattributes
    391 Bytes
    allow flax almost 5 years ago
  • config.json
    470 Bytes
    Update config.json about 6 years ago
  • flax_model.msgpack
    438 MB
    xet
    upload flax model almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    438 MB
    xet
    Update pytorch_model.bin about 6 years ago