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
by bukhalmae145 - opened
What is difference between base, large, and xlarge model? The base model works fine on my TTS but other models shows strange results.
These models are literally different sizes. That's all.
You can refer to the original paper for more information.