Instructions to use snolyai/resultsfinalgerman with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use snolyai/resultsfinalgerman with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="snolyai/resultsfinalgerman")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("snolyai/resultsfinalgerman") model = AutoModelForAudioClassification.from_pretrained("snolyai/resultsfinalgerman") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00dededa62c60b9bc9488c7efbd630d2f1f6ae3515915439b132fe0b6a7c8247
- Size of remote file:
- 1.26 GB
- SHA256:
- 6ce4e09f08fe32af1c16f685b1b66388271ee348f3c23143374dca33340dad6f
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