Model Details
Full Model IDJzuluaga/accent-id-commonaccent_ecapa
Pipeline / Taskaudio-classification
Libraryspeechbrain
Downloads (all-time)192.1K
Likes19
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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Access model files, inference API, and full documentation on Hugging Face.
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
⬇ Downloads192.1K
❤️ Community Likes19
🛠️ 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.