Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use gingercake01/STT0529_1000audio_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gingercake01/STT0529_1000audio_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="gingercake01/STT0529_1000audio_base")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("gingercake01/STT0529_1000audio_base") model = AutoModelForSpeechSeq2Seq.from_pretrained("gingercake01/STT0529_1000audio_base") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 150
Browse files
runs/May28_09-05-31_4c2e2e61b21d/events.out.tfevents.1716887138.4c2e2e61b21d.607.0
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