Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Japanese
whisper
Generated from Trainer
Instructions to use Nikolajvestergaard/Japanese_Fine_Tuned_Whisper_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nikolajvestergaard/Japanese_Fine_Tuned_Whisper_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Nikolajvestergaard/Japanese_Fine_Tuned_Whisper_Model")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Nikolajvestergaard/Japanese_Fine_Tuned_Whisper_Model") model = AutoModelForSpeechSeq2Seq.from_pretrained("Nikolajvestergaard/Japanese_Fine_Tuned_Whisper_Model") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#2 opened over 2 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#1 opened over 2 years ago
by
SFconvertbot