Automatic Speech Recognition
Transformers
PyTorch
JAX
Safetensors
Korean
hubert
feature-extraction
speech
audio
custom_code
Instructions to use team-lucid/hubert-large-korean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use team-lucid/hubert-large-korean with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="team-lucid/hubert-large-korean", trust_remote_code=True)# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("team-lucid/hubert-large-korean", trust_remote_code=True) model = AutoModel.from_pretrained("team-lucid/hubert-large-korean", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Difference between the models
1
#1 opened over 2 years ago
by
bukhalmae145