Automatic Speech Recognition
Transformers
PyTorch
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use INo0121/whisper-base-ko-callvoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use INo0121/whisper-base-ko-callvoice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="INo0121/whisper-base-ko-callvoice")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("INo0121/whisper-base-ko-callvoice") model = AutoModelForSpeechSeq2Seq.from_pretrained("INo0121/whisper-base-ko-callvoice") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3 opened almost 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#2 opened over 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened over 2 years ago
by
SFconvertbot