Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use innovation64/whisper-tiny-dv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use innovation64/whisper-tiny-dv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="innovation64/whisper-tiny-dv")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("innovation64/whisper-tiny-dv") model = AutoModelForSpeechSeq2Seq.from_pretrained("innovation64/whisper-tiny-dv") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af1690645b326d19a10b81c03574345667436ac05865e77b2785d678360cf52c
- Size of remote file:
- 151 MB
- SHA256:
- ec06e1a13cfed8a8978cc69ddae90295f5b8e9688921fee33590aa719cb31f0c
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