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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9388075b2599ee3fa2bef046c12fde7497750b8af84acae84e42d41379364365
- Size of remote file:
- 5.37 kB
- SHA256:
- fc446dd24a296b253251a2f3e4339fd03ecdb58d48f8cede83e12c902fa11209
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