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dafqi
/
IndoBERT-base-p2-Text-Classification

Text Classification
Transformers
TensorBoard
Safetensors
bert
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use dafqi/IndoBERT-base-p2-Text-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dafqi/IndoBERT-base-p2-Text-Classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="dafqi/IndoBERT-base-p2-Text-Classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("dafqi/IndoBERT-base-p2-Text-Classification")
    model = AutoModelForSequenceClassification.from_pretrained("dafqi/IndoBERT-base-p2-Text-Classification")
  • Notebooks
  • Google Colab
  • Kaggle
IndoBERT-base-p2-Text-Classification / runs
872 kB
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  • 1 contributor
History: 6 commits
dafqi's picture
dafqi
Training in progress, step 4000
0a3635c verified almost 2 years ago
  • May23_09-26-47_0bc68355710c
    Training in progress, step 800 almost 2 years ago
  • May23_09-43-53_0bc68355710c
    Training in progress, step 4000 almost 2 years ago