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
Amogh commited on
Training in progress, epoch 4
Browse files
runs/Mar15_09-30-56_c009693ebd28/events.out.tfevents.1710495056.c009693ebd28.2154.0
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