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Duplicated from  skt/A.X-Encoder-base

OpenLLM-Korea
/
A.X-Encoder-base

Text Classification
Transformers
Safetensors
English
Korean
modernbert
fill-mask
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use OpenLLM-Korea/A.X-Encoder-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use OpenLLM-Korea/A.X-Encoder-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="OpenLLM-Korea/A.X-Encoder-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("OpenLLM-Korea/A.X-Encoder-base")
    model = AutoModelForMaskedLM.from_pretrained("OpenLLM-Korea/A.X-Encoder-base")
  • Notebooks
  • Google Colab
  • Kaggle
A.X-Encoder-base / assets
559 kB
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  • 2 contributors
History: 1 commit
vxo's picture
vxo
Duplicate from skt/A.X-Encoder-base
590ab12 verified 9 months ago
  • A.X_from_scratch_logo_ko_4x3.png
    164 kB
    xet
    Duplicate from skt/A.X-Encoder-base 9 months ago
  • performance.png
    100 kB
    xet
    Duplicate from skt/A.X-Encoder-base 9 months ago
  • speed.png
    295 kB
    xet
    Duplicate from skt/A.X-Encoder-base 9 months ago