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mpnikhil
/
dev-0.4b

Text Classification
Transformers
Safetensors
English
decision-model
modernbert
routing
classification
verification
brier-score
calibration
bidirectional
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use mpnikhil/dev-0.4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mpnikhil/dev-0.4b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mpnikhil/dev-0.4b")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("mpnikhil/dev-0.4b", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
dev-0.4b / tokenizer
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  • 1 contributor
History: 1 commit
mpnikhil's picture
mpnikhil
Initial release of dev-0.4b bidirectional decision model
7692b80 verified about 20 hours ago
  • special_tokens_map.json
    694 Bytes
    Initial release of dev-0.4b bidirectional decision model about 20 hours ago
  • tokenizer.json
    3.58 MB
    Initial release of dev-0.4b bidirectional decision model about 20 hours ago
  • tokenizer_config.json
    20.8 kB
    Initial release of dev-0.4b bidirectional decision model about 20 hours ago