Instructions to use Mads/xlsr-demo-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mads/xlsr-demo-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Mads/xlsr-demo-2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Mads/xlsr-demo-2") model = AutoModelForCTC.from_pretrained("Mads/xlsr-demo-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6b3393aee4bccc97e993999228274b856236f56b3363d525f5279ee6a03253c
- Size of remote file:
- 1.26 GB
- SHA256:
- c654d06ec7b3c14e6fe5f8082d5ad70c45e5d9b3467472e091d9c810ee088e6a
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