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bonadossou
/
afrolm_active_learning

Fill-Mask
Transformers
PyTorch
xlm-roberta
afrolm
active learning
language modeling
research papers
natural language processing
self-active learning
Model card Files Files and versions
xet
Community
4

Instructions to use bonadossou/afrolm_active_learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use bonadossou/afrolm_active_learning with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="bonadossou/afrolm_active_learning")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("bonadossou/afrolm_active_learning")
    model = AutoModelForMaskedLM.from_pretrained("bonadossou/afrolm_active_learning", device_map="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
afrolm_active_learning
1.43 kB
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  • 1 contributor
History: 1 commit
bonadossou's picture
bonadossou
initial commit
bc231d3 almost 4 years ago
  • .gitattributes
    1.43 kB
    initial commit almost 4 years ago