Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use c72599/whisper-tiny-minds14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use c72599/whisper-tiny-minds14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="c72599/whisper-tiny-minds14")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("c72599/whisper-tiny-minds14") model = AutoModelForSpeechSeq2Seq.from_pretrained("c72599/whisper-tiny-minds14") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7e38f5de237ad93591f15d05383db28c41c807f78e26c8b13e33f6b8ca073f3
- Size of remote file:
- 4.22 kB
- SHA256:
- d4adcafad6fa30603e51e8b6239e79283dc7d889bf1074badaaddf6f13973336
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