Model Details
Full Model IDspeechbrain/spkrec-xvect-voxceleb
Pipeline / Taskaudio-classification
Libraryspeechbrain
Downloads (all-time)44.4K
Likes66
Last Modified2/25/2024
Author / Orgspeechbrain
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="speechbrain/spkrec-xvect-voxceleb")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
speechbrainembeddingsSpeakerVerificationIdentificationpytorchxvectorsTDNNaudio-classificationendataset:voxcelebarxiv:2106.04624license:apache-2.0region:us
More audio-classification Models
See all →🚀 Use This Model
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
⬇ Downloads44.4K
❤️ Community Likes66
🛠️ 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.