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AlbertHSU
/
ChineseFoodBert

Feature Extraction
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use AlbertHSU/ChineseFoodBert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="AlbertHSU/ChineseFoodBert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("AlbertHSU/ChineseFoodBert")
    model = AutoModel.from_pretrained("AlbertHSU/ChineseFoodBert")
  • Notebooks
  • Google Colab
  • Kaggle
ChineseFoodBert
410 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Cheng HSU
add basic bert-model file
f07e728 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • config.json
    790 Bytes
    add basic bert-model file over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    409 MB
    xet
    add basic bert-model file over 4 years ago
  • tokenizer.json
    269 kB
    add basic bert-model file over 4 years ago
  • tokenizer_config.json
    30 Bytes
    add basic bert-model file over 4 years ago
  • vocab.txt
    110 kB
    add basic bert-model file over 4 years ago