# Load model directly
from transformers import AutoProcessor, AutoModelForAudioClassification
processor = AutoProcessor.from_pretrained("Willy030125/Whisper-base-minds14-ForClassification")
model = AutoModelForAudioClassification.from_pretrained("Willy030125/Whisper-base-minds14-ForClassification")Quick Links
Whisper-base-minds14-ForClassification
Dataset source: https://huggingface.co/datasets/PolyAI/minds14
Model used for Fine Tuning: https://huggingface.co/openai/whisper-base
Trained on Colab T4 @ 5 epoch
Usage:
from transformers import WhisperProcessor, WhisperForAudioClassification
processor = WhisperProcessor.from_pretrained("Willy030125/Whisper-base-minds14-ForClassification")
model = WhisperForAudioClassification.from_pretrained("Willy030125/Whisper-base-minds14-ForClassification", num_labels=14)
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Willy030125/Whisper-base-minds14-ForClassification")