Instructions to use Imxxn/AudioCourseU5-ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Imxxn/AudioCourseU5-ASR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Imxxn/AudioCourseU5-ASR")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Imxxn/AudioCourseU5-ASR") model = AutoModelForSpeechSeq2Seq.from_pretrained("Imxxn/AudioCourseU5-ASR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff59a0128ecfeeb9da5cf7f9c0dc3d52729b1211370bdb052680f9df8ec949c5
- Size of remote file:
- 151 MB
- SHA256:
- ed191115861876b60c6717ce5df7319915ff152719fd26794ffdcec83a21bda9
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