Instructions to use kyrgyz-ai/AkylAI-STT-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kyrgyz-ai/AkylAI-STT-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="kyrgyz-ai/AkylAI-STT-small")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("kyrgyz-ai/AkylAI-STT-small") model = AutoModelForSpeechSeq2Seq.from_pretrained("kyrgyz-ai/AkylAI-STT-small") - Notebooks
- Google Colab
- Kaggle
Whisper ASR for Kyrgyz Language is an automatic speech recognition (ASR) solution customized for the Kyrgyz language. It is based on the pre-trained Whisper model and has undergone fine-tuning and adaptation to accurately transcribe Kyrgyz speech, taking into account its specific phonetic intricacies.
pipe = pipeline(model="the-cramer-project/AkylAI-STT-small")
def transcribe(audio):
text = pipe(audio)["text"]
return text
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