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:
- 05444a54889103ee0e88a0f3d7958c3d36316a512f2845ed0e96c61b933d2f95
- Size of remote file:
- 4.16 kB
- SHA256:
- 5c50a278f3956b4b2c2143fd5168b897ee979dd143c82e16f4c0035ffdd4f2a9
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