Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
morish/kresp_speech_87_48278_150000
morish/open_communication_109_48652_150000
morish/senior_kspeech_107_150000
morish/telemedicine_208_150000_200000
morish/welfare_470_150000_200000
whisper-2024-09-06
Generated from Trainer
Instructions to use morish/whisper-medium-ko-v0_1_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use morish/whisper-medium-ko-v0_1_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="morish/whisper-medium-ko-v0_1_2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("morish/whisper-medium-ko-v0_1_2") model = AutoModelForSpeechSeq2Seq.from_pretrained("morish/whisper-medium-ko-v0_1_2") - Notebooks
- Google Colab
- Kaggle
Ctrl+K