Instructions to use omarelsayeed/DYS_FIXED with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omarelsayeed/DYS_FIXED with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="omarelsayeed/DYS_FIXED")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("omarelsayeed/DYS_FIXED") model = AutoModelForAudioClassification.from_pretrained("omarelsayeed/DYS_FIXED", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload feature extractor
4a15b6e -
Upload Wav2Vec2ForSequenceClassification
cd8a546
-
Upload feature extractor
08d3c0f -
Upload Wav2Vec2ForSequenceClassification
959538f -
Update config.json
6de5f96 -
Upload feature extractor
069567a -
Upload Wav2Vec2ForSequenceClassification
cad1028 -
initial commit
53831b6