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lyeonii
/
albert-base

Feature Extraction
Transformers
PyTorch
English
albert
Model card Files Files and versions
xet
Community
1

Instructions to use lyeonii/albert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lyeonii/albert-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="lyeonii/albert-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("lyeonii/albert-base")
    model = AutoModel.from_pretrained("lyeonii/albert-base")
  • Notebooks
  • Google Colab
  • Kaggle
albert-base
49.8 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
yeon.lee
Add albert-base tokenizer and model files
596a994 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    22 Bytes
    Create README.md about 3 years ago
  • config.json
    818 Bytes
    Add albert-base tokenizer and model files about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    46.7 MB
    xet
    Add albert-base tokenizer and model files about 3 years ago
  • special_tokens_map.json
    286 Bytes
    Add albert-base tokenizer and model files about 3 years ago
  • spiece.model
    760 kB
    xet
    Add albert-base tokenizer and model files about 3 years ago
  • tokenizer.json
    2.27 MB
    Add albert-base tokenizer and model files about 3 years ago
  • tokenizer_config.json
    515 Bytes
    Add albert-base tokenizer and model files about 3 years ago