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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("devkyle/Akan") model = AutoModelForSpeechSeq2Seq.from_pretrained("devkyle/Akan", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from devkyle/Akan: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/devkyle/Akan/resolve/main/training_args.bin
- Command line
-
hf download hf://devkyle/Akan/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/devkyle/Akan/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 2b19c50c39454d1831a807d72eb1f24500fe6cff65a20bf3effa2537fd95088d
- Size of remote file:
- 5.37 kB
- SHA256:
- f183001ff813b5c172084e5cd36a14fcab4fa17b714495836d420fafbae94fae
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