Instructions to use neoALI/VC-MJY_Woman_40s-0_preprocessed-8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neoALI/VC-MJY_Woman_40s-0_preprocessed-8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="neoALI/VC-MJY_Woman_40s-0_preprocessed-8")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("neoALI/VC-MJY_Woman_40s-0_preprocessed-8") model = AutoModelForSpeechSeq2Seq.from_pretrained("neoALI/VC-MJY_Woman_40s-0_preprocessed-8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e01b379fdfdcaeca8b09cc1ece3e24355014b656ca757e39772763359a27959
- Size of remote file:
- 5.5 kB
- SHA256:
- 82e80bbda1f90d96d68a1277266e914d264010510183834feeea068e2398ad85
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