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:
- c591128e19d5d13be4c7ad0d51c303b9fde8b98b5f3849faae6b5dde00543fb2
- Size of remote file:
- 4.22 kB
- SHA256:
- c577e253aea310e1315d21dccb3d7793b31d3e991dabe4400d415414deff2a6d
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