Instructions to use qmeeus/la-whisper-small-covost2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qmeeus/la-whisper-small-covost2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="qmeeus/la-whisper-small-covost2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("qmeeus/la-whisper-small-covost2") model = AutoModelForSpeechSeq2Seq.from_pretrained("qmeeus/la-whisper-small-covost2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 037106e6cfd8e126088d78e3402a09706e6a661feb2b5356da559ef0f85040cf
- Size of remote file:
- 967 MB
- SHA256:
- 286941dcf1683fb2723b43bc6ec26e3a200e67b76a771139a9a936dae04b2bea
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