Instructions to use neoALI/VC-MJY_Woman_40s-0_preprocessed-9 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-9 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-9")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("neoALI/VC-MJY_Woman_40s-0_preprocessed-9") model = AutoModelForSpeechSeq2Seq.from_pretrained("neoALI/VC-MJY_Woman_40s-0_preprocessed-9", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fa45292f77dd28d3a006688c4b52392ca089685d3dcdafdfa82145befade227
- Size of remote file:
- 5.5 kB
- SHA256:
- 4b546c9810a12834284e610074fcb8a9f05abde2db012e8c0f4ab1d978603ad4
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