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
Download vocab.json from gingercake01/STT_15000_4method_audio_basev2_0607: direct link, hf CLI and curl.
- Browser
- Download file 1.04 MB
-
https://huggingface.co/gingercake01/STT_15000_4method_audio_basev2_0607/resolve/main/vocab.json
- Command line
-
hf download hf://gingercake01/STT_15000_4method_audio_basev2_0607/vocab.json
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curl -L -o vocab.json https://huggingface.co/gingercake01/STT_15000_4method_audio_basev2_0607/resolve/main/vocab.json
1.04 MB
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