Instructions to use moraxgiga/audio_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moraxgiga/audio_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="moraxgiga/audio_test")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("moraxgiga/audio_test") model = AutoModelForSpeechSeq2Seq.from_pretrained("moraxgiga/audio_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e556c2188dee55ee065dc67c1e2e76d1b3a0be3dd7a69dfd1f76bbda36aac94b
- Size of remote file:
- 290 MB
- SHA256:
- 404fa07b37813e1a425ae22348db6f7d0b359f72acd8d457927cc0d029beb278
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