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")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("MuhammadaliML/whisper-small-uz") model = AutoModelForSpeechSeq2Seq.from_pretrained("MuhammadaliML/whisper-small-uz") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
processor = AutoProcessor.from_pretrained("MuhammadaliML/whisper-small-uz")
model = AutoModelForSpeechSeq2Seq.from_pretrained("MuhammadaliML/whisper-small-uz")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MuhammadaliML/whisper-small-uz")