Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use Subhaaannn/audio_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Subhaaannn/audio_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Subhaaannn/audio_classification")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Subhaaannn/audio_classification") model = AutoModelForAudioClassification.from_pretrained("Subhaaannn/audio_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da82495d8d467f84e2a11af8db1710cfc0d4bbb92fa454ac393bd0f0002979d1
- Size of remote file:
- 4.6 kB
- SHA256:
- 8a05362a2dc21b99818a340ef2d333cabe3e1b8c3321ae3d1b70dac616bd2c59
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