Instructions to use Tim-gubski/Audio2Hero with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tim-gubski/Audio2Hero with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Tim-gubski/Audio2Hero")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Tim-gubski/Audio2Hero") model = AutoModelForSpeechSeq2Seq.from_pretrained("Tim-gubski/Audio2Hero", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7bd2ea7d5cb5d1e0f318a72bc3bbdb528b412d6cdc5dea6ef2c463accd846c1
- Size of remote file:
- 236 MB
- SHA256:
- bab4781f6f20aefbdd3829f425b5be802e58b9bb0ebe800856966d8147fe181d
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