Automatic Speech Recognition
Transformers
PyTorch
German
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use juri17/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juri17/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="juri17/test")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("juri17/test") model = AutoModelForSpeechSeq2Seq.from_pretrained("juri17/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 162aec7c7399aa625ff1d04081cc5d8ae59119b616508c22b0bf59cb6cb79df4
- Size of remote file:
- 151 MB
- SHA256:
- 40e9af4e149ea1b5d6d676e8c8d3be5a1d26f556044bd1805e339a321b9a4f57
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