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indobenchmark
/
indobert-base-p1

Feature Extraction
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
Indonesian
bert
indobert
indobenchmark
indonlu
Model card Files Files and versions
xet
Community
6

Instructions to use indobenchmark/indobert-base-p1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use indobenchmark/indobert-base-p1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="indobenchmark/indobert-base-p1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("indobenchmark/indobert-base-p1")
    model = AutoModel.from_pretrained("indobenchmark/indobert-base-p1")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

How to use unused token? (UNUSED_0, UNUSED_1, etc.)

#6 opened 4 months ago by
RifqiAnshariR

Adding `safetensors` variant of this model

#5 opened about 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#4 opened over 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#3 opened about 2 years ago by
SFconvertbot

AutoModelForQuestionAnswering: ValueError: too many values to unpack (expected 2)

#2 opened about 3 years ago by
BlueRey

Difference b/w indolem/indobert-base-uncased and indobenchmark/indobert-base-p1

2
#1 opened almost 4 years ago by
99sbr
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