How to use efficient-speech/lite-whisper-large-v3-turbo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="efficient-speech/lite-whisper-large-v3-turbo", trust_remote_code=True)
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("efficient-speech/lite-whisper-large-v3-turbo", trust_remote_code=True, dtype="auto")
Hi guys! Great work. I'm wondering if is it possible to convert it to ct2 format.
Yes. It's currently in development: https://github.com/OpenNMT/CTranslate2/pull/1886
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