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Rogendo
/
JengaAI-multi-task-distilbert-base-uncased

Text Classification
Transformers
TensorBoard
English
Swahili
multi-task-learning
fraud-detection
sentiment-analysis
call-quality
question-answering
jenga-ai
nlp-for-africa
security
attention-fusion
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Rogendo/JengaAI-multi-task-distilbert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Rogendo/JengaAI-multi-task-distilbert-base-uncased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Rogendo/JengaAI-multi-task-distilbert-base-uncased")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Rogendo/JengaAI-multi-task-distilbert-base-uncased", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
JengaAI-multi-task-distilbert-base-uncased / checkpoints
811 MB
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  • 1 contributor
History: 1 commit
Rogendo's picture
Rogendo
Upload JengaAI trained multi-task NLP model
1690859 verified 3 months ago
  • best
    Upload JengaAI trained multi-task NLP model 3 months ago
  • epoch_7
    Upload JengaAI trained multi-task NLP model 3 months ago
  • epoch_8
    Upload JengaAI trained multi-task NLP model 3 months ago