Instructions to use hungshinlee/whisper-tiny-az with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hungshinlee/whisper-tiny-az with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hungshinlee/whisper-tiny-az")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hungshinlee/whisper-tiny-az") model = AutoModelForSpeechSeq2Seq.from_pretrained("hungshinlee/whisper-tiny-az") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): d2404da
Training in progress, step 2000
Browse files
pytorch_model.bin
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