Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Uzbek
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use mrmuminov/whisper-tiny-uz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrmuminov/whisper-tiny-uz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mrmuminov/whisper-tiny-uz")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mrmuminov/whisper-tiny-uz") model = AutoModelForSpeechSeq2Seq.from_pretrained("mrmuminov/whisper-tiny-uz", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27845ec19cfbd56a860b2aa0353048605a21eedaf361836d41b10b1b570c5691
- Size of remote file:
- 5.5 kB
- SHA256:
- 282b5e866c8000a0a2d65c46dd60494bc27f6bc20b1eb358e55af1d24c9b9e32
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