Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Apocalypse-19/whisper-tiny-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Apocalypse-19/whisper-tiny-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Apocalypse-19/whisper-tiny-en")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Apocalypse-19/whisper-tiny-en") model = AutoModelForSpeechSeq2Seq.from_pretrained("Apocalypse-19/whisper-tiny-en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2c8b1d2504f7016a5f6c8aa4877313cf8c8fee048a955afe27e52d6992fa981
- Size of remote file:
- 4.09 kB
- SHA256:
- 15d39e6c7ab65349fbb919321e42c4513c0b9c1e0cf53cd87970b65622f5ac50
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