Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use SubsWay/my_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SubsWay/my_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SubsWay/my_test", device_map="auto")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("SubsWay/my_test") model = AutoModelForSpeechSeq2Seq.from_pretrained("SubsWay/my_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83c4e8ad13296a2bc1a222fca4556ff2a8cc800655ece2e132588a06371e1096
- Size of remote file:
- 290 MB
- SHA256:
- 07cadb9f25677c8d50df603e66a98fbd842cce45047139baeb16e6219a1e807b
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