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acappella
/
dummy2-model

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

Instructions to use acappella/dummy2-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use acappella/dummy2-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="acappella/dummy2-model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("acappella/dummy2-model")
    model = AutoModel.from_pretrained("acappella/dummy2-model")
  • Notebooks
  • Google Colab
  • Kaggle
dummy2-model
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
acappella's picture
acappella
Upload tokenizer
9397b2e about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    658 Bytes
    Upload model about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    438 MB
    xet
    Upload model about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 3 years ago
  • tokenizer.json
    711 kB
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    309 Bytes
    Upload tokenizer about 3 years ago
  • vocab.txt
    232 kB
    Upload tokenizer about 3 years ago