Instructions to use speech31/XLS-R-300m-korean-ipa2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use speech31/XLS-R-300m-korean-ipa2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="speech31/XLS-R-300m-korean-ipa2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("speech31/XLS-R-300m-korean-ipa2") model = AutoModelForCTC.from_pretrained("speech31/XLS-R-300m-korean-ipa2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from speech31/XLS-R-300m-korean-ipa2: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/speech31/XLS-R-300m-korean-ipa2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://speech31/XLS-R-300m-korean-ipa2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/speech31/XLS-R-300m-korean-ipa2/resolve/main/pytorch_model.bin
1.26 GB
- Xet hash:
- 92df52b62982f2096d7d87ffff906667cd8edd6a7f4035bdb754240dc8e8947e
- Size of remote file:
- 1.26 GB
- SHA256:
- 14bf7370fd97822b295c4f14dff71b07608ba06255bc54dd82eb68878f99607f
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