Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Korean
whisper
hf-asr-leaderboard
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use seastar105/whisper-medium-ko-zeroth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seastar105/whisper-medium-ko-zeroth with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="seastar105/whisper-medium-ko-zeroth")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("seastar105/whisper-medium-ko-zeroth") model = AutoModelForSpeechSeq2Seq.from_pretrained("seastar105/whisper-medium-ko-zeroth", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b29ca72e61e675954796eeb210e10f0ece04b07420332e0de7cf37807b877dfa
- Size of remote file:
- 3.06 GB
- SHA256:
- a38e5ccf0c28747b269db1c5a02c163aa59e96a31c54770e1107739728efc312
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