Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Korean
wav2vec2
Generated from Trainer
hf-asr-leaderboard
robust-speech-event
Eval Results (legacy)
Instructions to use w11wo/wav2vec2-xls-r-300m-korean-lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use w11wo/wav2vec2-xls-r-300m-korean-lm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="w11wo/wav2vec2-xls-r-300m-korean-lm")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("w11wo/wav2vec2-xls-r-300m-korean-lm") model = AutoModelForCTC.from_pretrained("w11wo/wav2vec2-xls-r-300m-korean-lm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4785aa8e8ab6cc395983c9d77a466e844c4a2ccce64e877a1f540f66b154f4dd
- Size of remote file:
- 1.27 GB
- SHA256:
- 5053bf2b841730db3418c7192453d10ccc89bd0225eb853dfa85b171f67fbd33
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