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FatimahEmadEldin/
whisper-deepstack-tn-intent

Name: whisper-deepstack-tn-intent
Availability: InStock

audio-classification

intent-classification

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Whisper-DeepStack Tunisian Arabic Intent Classifier

This model is a small classifier head (~0.8M params) trained on top of frozen Whisper-large-v3 encoder features for Tunisian Arabic intent recognition as part of the NADI 2026 Shared Task.

Architecture

Encoder: openai/whisper-large-v3 (frozen)
DeepStack Layers: [10, 21, 31]
Aggregation: sum
Validation Accuracy: 0.1513
Validation Weighted F1: 0.0882

Usage

python

import torch
from huggingface_hub import hf_hub_download

ckpt = torch.load(
    hf_hub_download("FatimahEmadEldin/whisper-deepstack-tn-intent", "best_classifier.pt"),
    map_location='cpu'
)