Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use ljs0710/whisper-small-finetuning-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ljs0710/whisper-small-finetuning-ko with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ljs0710/whisper-small-finetuning-ko")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ljs0710/whisper-small-finetuning-ko") model = AutoModelForSpeechSeq2Seq.from_pretrained("ljs0710/whisper-small-finetuning-ko", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8443e1af4eaedb0906716964b1a606243d6aecaaeced53d64055129308c53dbc
- Size of remote file:
- 5.5 kB
- SHA256:
- 0c9a5b2ffac441347f09d8d263a1a0f4a003520a15e6bf07de6c0a53ce38f384
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