Instructions to use ppparkker/wav2vec2-xls-r-300m-S2P-korean with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ppparkker/wav2vec2-xls-r-300m-S2P-korean with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ppparkker/wav2vec2-xls-r-300m-S2P-korean")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ppparkker/wav2vec2-xls-r-300m-S2P-korean") model = AutoModelForCTC.from_pretrained("ppparkker/wav2vec2-xls-r-300m-S2P-korean") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8c9a13fb8d86b0d98f6389bdccee0d6ee2b37743c7e41f5e58d9e8477fcb85f
- Size of remote file:
- 5.3 kB
- SHA256:
- 981463b4ac1f53d0564ac9aa684e258ffb12365b4702cee6b78f46b4ebd36f3e
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