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indobenchmark
/
indobert-base-p2

Feature Extraction
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
Indonesian
bert
indobert
indobenchmark
indonlu
Model card Files Files and versions
xet
Community
3

Instructions to use indobenchmark/indobert-base-p2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use indobenchmark/indobert-base-p2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="indobenchmark/indobert-base-p2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("indobenchmark/indobert-base-p2")
    model = AutoModel.from_pretrained("indobenchmark/indobert-base-p2")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#3 opened about 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#2 opened over 1 year ago by
SFconvertbot

Difference b/w phase1 and phase2 - uncased

#1 opened almost 4 years ago by
99sbr
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