Instructions to use devkyle/Akan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devkyle/Akan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="devkyle/Akan")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("devkyle/Akan") model = AutoModelForMultimodalLM.from_pretrained("devkyle/Akan") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b19c50c39454d1831a807d72eb1f24500fe6cff65a20bf3effa2537fd95088d
- Size of remote file:
- 5.37 kB
- SHA256:
- f183001ff813b5c172084e5cd36a14fcab4fa17b714495836d420fafbae94fae
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