Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use amoghppatil/test_audio_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amoghppatil/test_audio_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="amoghppatil/test_audio_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("amoghppatil/test_audio_classification") model = AutoModelForAudioClassification.from_pretrained("amoghppatil/test_audio_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
AmoghVerified signature6e2acdf -
Training in progress, epoch 8
AmoghVerified signature5fb7d63 -
Training in progress, epoch 6
AmoghVerified signature924202e -
Training in progress, epoch 5
AmoghVerified signature949047f -
Training in progress, epoch 4
AmoghVerified signatureb555da7 -
Training in progress, epoch 4
AmoghVerified signature5ad0f2e -
Training in progress, epoch 2
AmoghVerified signature24ad478 -
Training in progress, epoch 1
AmoghVerified signatureb997328 -
Training in progress, epoch 0
AmoghVerified signature6bd6dda -
initial commit
AmoghVerified signature0a7ff74