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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be073df076a11805e39c817cca5c1c9ec5f91660fdd25a24ddfaf1dcc3c96f17
- Size of remote file:
- 4.35 kB
- SHA256:
- cfdc2d71d270f6b870fd51ecc9810dae4906be3acdfb4122e6fa88ef82f223a8
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