Instructions to use devkyle/Akan-3-small-2000ms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devkyle/Akan-3-small-2000ms with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="devkyle/Akan-3-small-2000ms")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("devkyle/Akan-3-small-2000ms") model = AutoModelForSpeechSeq2Seq.from_pretrained("devkyle/Akan-3-small-2000ms") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2000
Browse files
model.safetensors
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runs/Sep09_01-06-46_749f21eece96/events.out.tfevents.1725844009.749f21eece96.1248.0
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