Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use mikr/whisper-small-hr-vox with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mikr/whisper-small-hr-vox with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mikr/whisper-small-hr-vox")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mikr/whisper-small-hr-vox") model = AutoModelForSpeechSeq2Seq.from_pretrained("mikr/whisper-small-hr-vox") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 336fdbb8a81a74ddedc9df3d5b447b2afaa121691c20a37aaf4e7330099cc20b
- Size of remote file:
- 3.58 kB
- SHA256:
- b8f800914ed7d0ecfdabd5f7c0dd570590eb7c219e403ef5c508f076fc18572f
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