Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use wchris/english-audio-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wchris/english-audio-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="wchris/english-audio-classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("wchris/english-audio-classification") model = AutoModelForAudioClassification.from_pretrained("wchris/english-audio-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
8933b7c -
Training in progress, epoch 6
13da9b9 -
Training in progress, epoch 4
18d747d -
Training in progress, epoch 0
2f3c28b -
End of training
1cb017b -
Training in progress, epoch 5
9656335 -
Training in progress, epoch 4
3e8648f -
Training in progress, epoch 2
8e93ac7 -
Training in progress, epoch 0
ad4b678 -
initial commit
6b0aac7