Automatic Speech Recognition
Transformers
PyTorch
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use aryamtos/whisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aryamtos/whisper-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="aryamtos/whisper-tiny")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("aryamtos/whisper-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("aryamtos/whisper-tiny") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3dd74a6a511b98095095acd14893294a8e5568b4135fafecdf262e5317153c4d
- Size of remote file:
- 151 MB
- SHA256:
- ce83c07faef3fb6859109f6c0db8480fa55b63cf0951b07b8f1985bbb2eec039
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