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:
- db9a41cef2c0d4549c0d30f4cd4040ee7bf7c0b51248c9ba703e15939499a85f
- Size of remote file:
- 3.9 kB
- SHA256:
- fa350afb828e0f21223cf643e81b9798b1d2a0af167d1f9f2a4f413fc712ac0b
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