Instructions to use issai/soyle_onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use issai/soyle_onnx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="issai/soyle_onnx")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("issai/soyle_onnx") model = AutoModelForSpeechSeq2Seq.from_pretrained("issai/soyle_onnx") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 579ef248a28c8c7a19851d5c434bcd231df7ca6c7072b8effb6696c00c72979d
- Size of remote file:
- 1.23 GB
- SHA256:
- ec3968b4c37243591d37c43af564fd9252dc57d45fef79ad92711a03f99a055f
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