Automatic Speech Recognition
Transformers
PyTorch
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use wetq423fqsdv/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wetq423fqsdv/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="wetq423fqsdv/test")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("wetq423fqsdv/test") model = AutoModelForSpeechSeq2Seq.from_pretrained("wetq423fqsdv/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f964c393fac2609f4ec4da7f652248f046adc50968493a2271dc535278f74e0
- Size of remote file:
- 290 MB
- SHA256:
- 0f4b1745d9ca463c93c6359df68820b2edc377fdecd230ff2e40275e356b10f9
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