Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use gingercake01/STT_15000_4method_audio_basev2_0607 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gingercake01/STT_15000_4method_audio_basev2_0607 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="gingercake01/STT_15000_4method_audio_basev2_0607")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("gingercake01/STT_15000_4method_audio_basev2_0607") model = AutoModelForSpeechSeq2Seq.from_pretrained("gingercake01/STT_15000_4method_audio_basev2_0607", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 2,194 Bytes
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"<|startoflm|>",
"<|startofprev|>",
"<|nocaptions|>",
"<|notimestamps|>"
],
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},
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},
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}
}
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