Model Details
Full Model IDJzuluaga/accent-id-commonaccent_ecapa
Pipeline / Taskaudio-classification
Libraryspeechbrain
Downloads (all-time)47.8K
Likes18
Last Modified7/22/2023
Author / OrgJzuluaga
PrivateNo � public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("audio-classification", model="Jzuluaga/accent-id-commonaccent_ecapa")
# Run inference
result = pipe("Your input here")
print(result)����� Tags
speechbrainaudio-classificationembeddingsAccentIdentificationpytorchECAPA-TDNNTDNNCommonAccentendataset:CommonVoicearxiv:2305.18283arxiv:2106.04624license:mitregion:us
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Open on Hugging Face →Browse Model Files ↗�� Browse All Models🤖 Task: audio-classification
This model is designed for the audio-classification task. Explore more models for this use case.
All audio-classification Models →📊 Popularity
⬇ Downloads47.8K
����� Community Likes18
🛠�� Requirements
- →Install: pip install speechbrain
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.