Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use freshpearYoon/largev2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use freshpearYoon/largev2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="freshpearYoon/largev2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("freshpearYoon/largev2") model = AutoModelForSpeechSeq2Seq.from_pretrained("freshpearYoon/largev2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c429ec9a52fda6dc001c4a18e585516b6e1c3be3155cc0fa11885b7d4a5057e6
- Size of remote file:
- 4.41 kB
- SHA256:
- d5327fa395850d40f2880820ccaacb7f7b0b669cfbb2f4b2afc1121452cc01c9
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