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:
- cd3023efc4c7b746c742d01cce527f94d95a6f11bacda67362e0022f46c75180
- Size of remote file:
- 967 MB
- SHA256:
- dd19d3015399ef411d109f2cc0a899408316f2641f96cb078c0e5ad180222eeb
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