Instructions to use MuhammadaliML/whisper-small-uz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MuhammadaliML/whisper-small-uz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MuhammadaliML/whisper-small-uz")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("MuhammadaliML/whisper-small-uz") model = AutoModelForSpeechSeq2Seq.from_pretrained("MuhammadaliML/whisper-small-uz", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 4000
Browse files
model.safetensors
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runs/Jul20_17-20-28_mohir-ai-3090/events.out.tfevents.1721496030.mohir-ai-3090.2014234.0
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