Automatic Speech Recognition
Transformers
PyTorch
JAX
Safetensors
Korean
hubert
feature-extraction
speech
audio
custom_code
Instructions to use team-lucid/hubert-base-korean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use team-lucid/hubert-base-korean with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="team-lucid/hubert-base-korean", trust_remote_code=True)# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("team-lucid/hubert-base-korean", trust_remote_code=True) model = AutoModel.from_pretrained("team-lucid/hubert-base-korean", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
정신병 감정 분류 모델에의 응용
#2
by puggykk - opened
안녕하세요, 한국어 hubert 를 통해 정신병 유무를 판별하고자 합니다.
데이터 형태는 wav 파일입니다.
혹시 한국어 hubert로 감성분류한 예제라도 있을까요?
hyunwoo3235 changed discussion status to closed