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Wikidepia
/
IndoConvBERT-base

Feature Extraction
Transformers
PyTorch
google-tensorflow TensorFlow
Indonesian
convbert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use Wikidepia/IndoConvBERT-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Wikidepia/IndoConvBERT-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Wikidepia/IndoConvBERT-base")
    model = AutoModel.from_pretrained("Wikidepia/IndoConvBERT-base")
  • Notebooks
  • Google Colab
  • Kaggle
IndoConvBERT-base
846 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
Wikidepia's picture
Wikidepia
Add tokenizer
37a8496 about 5 years ago
  • .gitattributes
    690 Bytes
    initial commit about 5 years ago
  • README.md
    568 Bytes
    Initial models about 5 years ago
  • config.json
    646 Bytes
    Initial models about 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    423 MB
    xet
    Initial models about 5 years ago
  • tf_model.h5
    423 MB
    xet
    Initial models about 5 years ago
  • tokenizer_config.json
    40 Bytes
    Add tokenizer about 5 years ago
  • vocab.txt
    229 kB
    Add tokenizer about 5 years ago