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dccuchile
/
albert-base-2-spanish

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

Instructions to use dccuchile/albert-base-2-spanish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dccuchile/albert-base-2-spanish with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="dccuchile/albert-base-2-spanish")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("dccuchile/albert-base-2-spanish")
    model = AutoModel.from_pretrained("dccuchile/albert-base-2-spanish")
  • Notebooks
  • Google Colab
  • Kaggle
albert-base-2-spanish
49.7 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
josecannete's picture
josecannete
Upload tokenizer
6405eba over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    822 Bytes
    Upload model over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    47.3 MB
    xet
    Upload model over 3 years ago
  • special_tokens_map.json
    173 Bytes
    Upload tokenizer over 3 years ago
  • tokenizer.json
    2.45 MB
    Upload tokenizer over 3 years ago
  • tokenizer_config.json
    531 Bytes
    Upload tokenizer over 3 years ago