Instructions to use 5p33ch3xpr/XLS-R-with-LM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 5p33ch3xpr/XLS-R-with-LM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="5p33ch3xpr/XLS-R-with-LM")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("5p33ch3xpr/XLS-R-with-LM") model = AutoModelForCTC.from_pretrained("5p33ch3xpr/XLS-R-with-LM") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:298e47af69c1ad892e74ec119153d6b46045bc8ecec2b6d3842a1c1dc4f7d176
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size 1262102632
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