Audio Classification
Transformers
Safetensors
Generated from Trainer
custom_code
Eval Results (legacy)
Instructions to use yangwang825/xvector-voxceleb1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yangwang825/xvector-voxceleb1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="yangwang825/xvector-voxceleb1", trust_remote_code=True)# Load model directly from transformers import AutoModelForAudioClassification model = AutoModelForAudioClassification.from_pretrained("yangwang825/xvector-voxceleb1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Performance
#1
by SummerWu - opened
Hi
May I ask what is the EER of your model? Does the training dataset include the voxceleb2? The test set the voxceleb1 test set?
Thanks,
Xiaoliang
Hi,
This version only has only been trained on voxceleb1 dataset using official identification split, therefore there won't be EER metric involved.
Warm regards,
Yang