Instructions to use devkyle/Akan-tiny-2000ms-1.5k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devkyle/Akan-tiny-2000ms-1.5k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="devkyle/Akan-tiny-2000ms-1.5k")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("devkyle/Akan-tiny-2000ms-1.5k") model = AutoModelForSpeechSeq2Seq.from_pretrained("devkyle/Akan-tiny-2000ms-1.5k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6dec0de9ec4c9791f7aa09f5387a6be69d1b9c456b784f1d38c2cbf272367ad7
- Size of remote file:
- 5.43 kB
- SHA256:
- cd166ec578d8143841581a3fd1973bd714c6419a582c3621892915be8cd2bc03
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