Instructions to use devkyle/Akan-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devkyle/Akan-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="devkyle/Akan-3")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("devkyle/Akan-3") model = AutoModelForSpeechSeq2Seq.from_pretrained("devkyle/Akan-3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69b518a297fc921b1623839d35f66bb19dc3d38e386b291211a8c948687125f0
- Size of remote file:
- 151 MB
- SHA256:
- 3b33ad3e50f0f4918a452ed777a6e24f0d530f581e8a8e9c05e252a57852b7a3
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