Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use gingercake01/STT_1000audio_basev3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gingercake01/STT_1000audio_basev3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="gingercake01/STT_1000audio_basev3")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("gingercake01/STT_1000audio_basev3") model = AutoModelForSpeechSeq2Seq.from_pretrained("gingercake01/STT_1000audio_basev3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
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