Instructions to use nacielo/whispherMusic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nacielo/whispherMusic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nacielo/whispherMusic")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("nacielo/whispherMusic") model = AutoModelForSpeechSeq2Seq.from_pretrained("nacielo/whispherMusic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ad33b6bfdea952973e468da998a267ea27b7e1c51e381275cdd75baadcc17bf
- Size of remote file:
- 4.16 kB
- SHA256:
- a79701e0c24eb29a2b067628dccce87ff6da031698a4136c30e6489cc03386fd
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