Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use oceanstar/bridze with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oceanstar/bridze with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="oceanstar/bridze")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("oceanstar/bridze") model = AutoModelForSpeechSeq2Seq.from_pretrained("oceanstar/bridze", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3500
Browse files
pytorch_model.bin
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runs/Aug03_09-29-30_pmiminos-Z390-AORUS-ELITE/events.out.tfevents.1691022582.pmiminos-Z390-AORUS-ELITE.10843.2
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