Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Daniel981215/whisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Daniel981215/whisper-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Daniel981215/whisper-tiny")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Daniel981215/whisper-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("Daniel981215/whisper-tiny") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09c95857ef963db3eba770ed45e2773662e28e26716c9683586ae6bf31590051
- Size of remote file:
- 4.86 kB
- SHA256:
- 98d121e94f556643eeef63b7b5c1f65ba80c690a3e3f34f39feee142b0b3b0a7
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