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eulogik
/
nirnay-450m

Text Classification
Laya
ONNX
Transformers
Safetensors
PyTorch
English
nirnay
banking77
intent-classification
intent-detection
calibrated-decisions
calibration
decision-model
system-one
small-language-model
edge-ai
on-device
guardrails
triage
lora
rlcd
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use eulogik/nirnay-450m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Laya

    How to use eulogik/nirnay-450m with Laya:

    # No code snippets available yet for this library.
    
    # To use this model, check the repository files and the library's documentation.
    
    # Want to help? PRs adding snippets are welcome at:
    # https://github.com/huggingface/huggingface.js
  • Transformers

    How to use eulogik/nirnay-450m with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="eulogik/nirnay-450m")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("eulogik/nirnay-450m", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
nirnay-450m / eval
657 Bytes
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  • 1 contributor
History: 2 commits
GautamKishore's picture
GautamKishore
Upload eval/banking77_phase_a.json with huggingface_hub
1877848 verified 6 days ago
  • banking77_phase_a.json
    329 Bytes
    Upload eval/banking77_phase_a.json with huggingface_hub 6 days ago
  • banking77_phase_b.json
    328 Bytes
    Upload eval/banking77_phase_b.json with huggingface_hub 6 days ago