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Lukitaduarte
/
dinah-0-apache

Text Classification
Transformers
ONNX
Safetensors
English
Portuguese
modernbert
feature-extraction
encoder
typed-decisions
decision-index
cpu
decision-model
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Lukitaduarte/dinah-0-apache with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Lukitaduarte/dinah-0-apache with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Lukitaduarte/dinah-0-apache")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Lukitaduarte/dinah-0-apache")
    model = AutoModel.from_pretrained("Lukitaduarte/dinah-0-apache", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
dinah-0-apache / onnx
315 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
Lukitaduarte's picture
Lukitaduarte
Add Dinah-0 Apache: Dinah-0 retrained without non-commercial data
3265ba1 verified 9 days ago
  • model_8bit.onnx
    165 MB
    xet
    Add Dinah-0 Apache: Dinah-0 retrained without non-commercial data 9 days ago
  • model_int8.onnx
    151 MB
    xet
    Add Dinah-0 Apache: Dinah-0 retrained without non-commercial data 9 days ago