Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
German
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use controngo/whisper-tiny-cv-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use controngo/whisper-tiny-cv-de with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="controngo/whisper-tiny-cv-de")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("controngo/whisper-tiny-cv-de") model = AutoModelForSpeechSeq2Seq.from_pretrained("controngo/whisper-tiny-cv-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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