Instructions to use BuzzASR/uzbek with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BuzzASR/uzbek with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="BuzzASR/uzbek")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("BuzzASR/uzbek") model = AutoModelForSpeechSeq2Seq.from_pretrained("BuzzASR/uzbek", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f606c79fd66fb3b775d1fcc3cbe17511af7689eddb58ddb2036927dfb865555
- Size of remote file:
- 3.09 GB
- SHA256:
- 3b865a37e87125d7f5de0140f837be6b6f76dcd549c44725b7707e67e2e9793f
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