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Mukta9904
/
aegis-layer2-distilbert

Text Classification
Transformers
Safetensors
distilbert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Mukta9904/aegis-layer2-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Mukta9904/aegis-layer2-distilbert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Mukta9904/aegis-layer2-distilbert", device_map="auto")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Mukta9904/aegis-layer2-distilbert")
    model = AutoModelForSequenceClassification.from_pretrained("Mukta9904/aegis-layer2-distilbert", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
aegis-layer2-distilbert
269 MB
Ctrl+K
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  • 1 contributor
History: 23 commits
Mukta9904's picture
Mukta9904
Uploaded LP new model
7e9cc42 verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    68 Bytes
    Update README.md 4 months ago
  • config.json
    663 Bytes
    Uploaded LP new model 4 months ago
  • model.safetensors
    268 MB
    xet
    Uploaded LP new model 4 months ago
  • tokenizer.json
    711 kB
    Uploaded LoRA model 4 months ago
  • tokenizer_config.json
    322 Bytes
    Uploaded LoRA model 4 months ago