Automatic Speech Recognition
Transformers
Safetensors
Uzbek
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use Makhmud/whisper-uzbek with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Makhmud/whisper-uzbek with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Makhmud/whisper-uzbek")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Makhmud/whisper-uzbek") model = AutoModelForSpeechSeq2Seq.from_pretrained("Makhmud/whisper-uzbek") - Notebooks
- Google Colab
- Kaggle
Upload training_args.bin
Browse files- training_args.bin +3 -0
training_args.bin
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