Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
Generated from Trainer
Instructions to use phucdyale/ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phucdyale/ko with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="phucdyale/ko")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("phucdyale/ko") model = AutoModelForSpeechSeq2Seq.from_pretrained("phucdyale/ko", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from phucdyale/ko: direct link, hf CLI and curl.
- Browser
- Download file 4.4 kB
-
https://huggingface.co/phucdyale/ko/resolve/main/training_args.bin
- Command line
-
hf download hf://phucdyale/ko/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/phucdyale/ko/resolve/main/training_args.bin
4.4 kB
- Xet hash:
- c98c99424da8f14c74c01d283be766f18c7d788fb4e6b1ff0201176bffaa19bd
- Size of remote file:
- 4.4 kB
- SHA256:
- 51158cd7bcd7d5b6dd37ea2153b9064f3e5987ab0b26abca68c1519a870d1a58
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