Instructions to use Newton2676/STRIX_heavy_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Newton2676/STRIX_heavy_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Newton2676/STRIX_heavy_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("Newton2676/STRIX_heavy_model") model = AutoModelForAudioClassification.from_pretrained("Newton2676/STRIX_heavy_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signaturef00f1c3 -
Training in progress, epoch 2
Verified signatureacb3ee4 -
Training in progress, epoch 1
Verified signature6d8002b -
initial commit
Verified signature8d391a8