Automatic Speech Recognition
Transformers
Safetensors
Chuvash
whisper
chuvash
chv
speech-recognition
asr
Eval Results (legacy)
Instructions to use SpeechCollector/whisper-chuvash-turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SpeechCollector/whisper-chuvash-turbo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SpeechCollector/whisper-chuvash-turbo")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("SpeechCollector/whisper-chuvash-turbo") model = AutoModelForSpeechSeq2Seq.from_pretrained("SpeechCollector/whisper-chuvash-turbo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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