Instructions to use aditira/audio_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aditira/audio_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="aditira/audio_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("aditira/audio_classification") model = AutoModelForAudioClassification.from_pretrained("aditira/audio_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
517f59c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:eb173777bc9a2595fa8f8e342660debc2072ef2b4d0a483d625e62e15ac359f1
size 4091
|