Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use DragonLine/train05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DragonLine/train05 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="DragonLine/train05")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("DragonLine/train05") model = AutoModelForSpeechSeq2Seq.from_pretrained("DragonLine/train05") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5739ac6d2ae7bbeec7ad2fdabab834ac6c6a10e01ba00bbf441e7f6833c6c257
- Size of remote file:
- 290 MB
- SHA256:
- d6ce365169d5f3af88059f9b7204f809bfa407b37ecb6d5b3338bb6048ffb1f9
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