Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use lpcortez/audio_prosodic0.0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lpcortez/audio_prosodic0.0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="lpcortez/audio_prosodic0.0.1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("lpcortez/audio_prosodic0.0.1") model = AutoModelForAudioClassification.from_pretrained("lpcortez/audio_prosodic0.0.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signatureca02ef2 -
Training in progress, epoch 3
Verified signature8d240af -
Training in progress, epoch 3
Verified signaturec3bb36a -
Training in progress, epoch 2
Verified signature2a43b7e -
Training in progress, epoch 1
Verified signature5fe8250 -
initial commit
Verified signaturede566c4