Instructions to use molto/ft_0112_korean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use molto/ft_0112_korean with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="molto/ft_0112_korean")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("molto/ft_0112_korean") model = AutoModelForCTC.from_pretrained("molto/ft_0112_korean", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from molto/ft_0112_korean: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/molto/ft_0112_korean/resolve/main/training_args.bin
- Command line
-
hf download hf://molto/ft_0112_korean/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/molto/ft_0112_korean/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- 44c8397448b1cba8b5217bd3b99973b47a7a34fbff55b7a3571461b0c3d62632
- Size of remote file:
- 4.54 kB
- SHA256:
- 439407b6d683f995e66205fd9a53c8cc7ffb775b404a3b51c44e3f03d688718c
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