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yangwang825
/
bert-tap-sst2

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

Instructions to use yangwang825/bert-tap-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use yangwang825/bert-tap-sst2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="yangwang825/bert-tap-sst2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("yangwang825/bert-tap-sst2")
    model = AutoModel.from_pretrained("yangwang825/bert-tap-sst2")
  • Notebooks
  • Google Colab
  • Kaggle
bert-tap-sst2
439 MB
Ctrl+K
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  • 1 contributor
History: 11 commits
yangwang825's picture
yangwang825
Push model using huggingface_hub.
45d1832 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    658 Bytes
    Upload model over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    438 MB
    xet
    Push model using huggingface_hub. over 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 2 years ago
  • tokenizer.json
    711 kB
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    314 Bytes
    Upload tokenizer over 2 years ago
  • vocab.txt
    232 kB
    Upload tokenizer over 2 years ago