Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Hungarian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use emilios/whisper-md-hu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emilios/whisper-md-hu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="emilios/whisper-md-hu")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("emilios/whisper-md-hu") model = AutoModelForSpeechSeq2Seq.from_pretrained("emilios/whisper-md-hu") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76c33c9653880d06bdc1d904d0d968cd1c121729f34411ad0805c952302a8ef6
- Size of remote file:
- 4.67 kB
- SHA256:
- b52a24bd2a6b3184d0df412d977f20b8ddd06eb8947b590578cce59947398a9c
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