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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
Ctrl+K
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  • 1 contributor
History: 7 commits
mpnikhil's picture
mpnikhil
Upload assets/benchmark_scorecard.png with huggingface_hub
3c6ef92 verified about 14 hours ago
  • assets
    Upload assets/benchmark_scorecard.png with huggingface_hub about 14 hours ago
  • encoder
    Initial release of dev-0.4b bidirectional decision model about 18 hours ago
  • tokenizer
    Initial release of dev-0.4b bidirectional decision model about 18 hours ago
  • .gitattributes
    1.79 kB
    Upload assets/benchmark_scorecard.png with huggingface_hub about 14 hours ago
  • README.md
    12.4 kB
    Fix model card: sanitize math formatting, add Yelp to metadata, drop unverified latency about 18 hours ago
  • model.safetensors
    1.59 GB
    xet
    Initial release of dev-0.4b bidirectional decision model about 18 hours ago
  • run.json
    2.2 kB
    Initial release of dev-0.4b bidirectional decision model about 18 hours ago