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:
- 2027715776d2b639723ffd0c7c134bb4b3a669cbe650aef53d92ed74381ba8a3
- Size of remote file:
- 3.64 kB
- SHA256:
- 0cc61f8990a4f04b105c7d6cab87d048b59dc7431947f39da202c03914cca36d
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