ModelPublicadoExterno

Whisper Deepstack Tn Intent

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.

Fuentehuggingface.co/FatimahEmadEldin/whisper-deepstack-tn-intent/tree/73eaea2554d082b2ed42010fda36ca797bdc444a

TipoOtherVersiónBest classifierCcalidad

Fuente del modelo

Tipo: Other
Tamaño del archivo: 3,04–20,4 MB
Versión: vBest classifier
Actualizado: 25 oct 2026
Fuente: Hugging Face

Descripción de la fuente

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

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'
)

Fuentes

1 fuente

Hugging FacePrincipalVersión 73eaea2554d082b2ed42010fda36ca797bdc444a

huggingface.co/FatimahEmadEldin/whisper-deepstack-tn-intent/tree/73eaea2554d082b2ed42010fda36ca797bdc444a

Verificado 25 oct

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Artefactos del modelo

2 artefactos

best_classifier.pt

pt · 3,04 MB · SHA-256 1b7107ce9bcc…8963 · Hugging Face

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consolidated_features.pt

pt · 20,4 MB · SHA-256 59d21835e543…a773 · Hugging Face

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Extractos de fuentes

2 extractos

Readme7 agohuggingface.co/FatimahEmadEldin/whisper-deepstack-tn-intent

--- language: ar tags: - audio-classification - intent-classification - arabic - tunisian-arabic - slurp-tn - nadi-2026 license: apache-2.0 datasets: - Elyadata/SLURP-TN --- # 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' ) ```

Note7 agohuggingface.co/FatimahEmadEldin/whisper-deepstack-tn-intent

Source context: 0 downloads · 0 likes · Pipeline audio-classification · Repo FatimahEmadEldin/whisper-deepstack-tn-intent