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csatapathy
/
interview-ratings-bert

Text Classification
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
bert
Model card Files Files and versions
xet
Community
1

Instructions to use csatapathy/interview-ratings-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use csatapathy/interview-ratings-bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="csatapathy/interview-ratings-bert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("csatapathy/interview-ratings-bert")
    model = AutoModelForSequenceClassification.from_pretrained("csatapathy/interview-ratings-bert")
  • Notebooks
  • Google Colab
  • Kaggle
interview-ratings-bert
1.31 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
patrickvonplaten's picture
patrickvonplaten
upload flax model
6e138bf about 5 years ago
  • .gitattributes
    736 Bytes
    allow flax about 5 years ago
  • config.json
    1.04 kB
    Update from $USER about 5 years ago
  • flax_model.msgpack
    438 MB
    xet
    upload flax model about 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    438 MB
    xet
    Update from $USER about 5 years ago
  • special_tokens_map.json
    112 Bytes
    Update from $USER about 5 years ago
  • tf_model.h5
    438 MB
    xet
    Update from $USER about 5 years ago
  • tokenizer_config.json
    285 Bytes
    Update from $USER about 5 years ago
  • vocab.txt
    232 kB
    Update from $USER about 5 years ago