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")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("Newton2676/STRIX_heavy_model") model = AutoModelForAudioClassification.from_pretrained("Newton2676/STRIX_heavy_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91b0df100d7bb434f1f1e8b589a4e06b5557582099d5e0810b897dc3b81b80d0
- Size of remote file:
- 5.27 kB
- SHA256:
- 3d58c089d33e2b57bf49740bd32190a7f3341a95de73c9b430af8c889095fbc9
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