Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use DragonLine/train03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DragonLine/train03 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="DragonLine/train03")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("DragonLine/train03") model = AutoModelForSpeechSeq2Seq.from_pretrained("DragonLine/train03", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05eac78ab39a21bd991971e54baa6f0cb9099b8508805763c7b6708d862f9e4e
- Size of remote file:
- 4.35 kB
- SHA256:
- 6e6951e564d2478824b01c82133f4a8b82354c5fbaa55feeba3ab19ecc51cc83
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