Instructions to use aware-ai/whisper-tiny-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aware-ai/whisper-tiny-german with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="aware-ai/whisper-tiny-german")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("aware-ai/whisper-tiny-german") model = AutoModelForSpeechSeq2Seq.from_pretrained("aware-ai/whisper-tiny-german", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload tokenizer.json (#3)
Verified signature- Upload tokenizer.json (6704ccdc02171f63d5106f5e560e1c8a2dce7d5e) Co-authored-by: Andreas Stallinger <aementio@users.noreply.huggingface.co>ff7a6b2
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Adding ONNX file of this model (#2)
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (1c5b3533b5b9e7f4a749cf13cbf8a6f802a01d63) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>50bdfc2
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