Instructions to use Mads/xlsr-0330 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mads/xlsr-0330 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Mads/xlsr-0330", device_map="auto")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Mads/xlsr-0330") model = AutoModelForCTC.from_pretrained("Mads/xlsr-0330", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload scheduler.pt with git-lfs
Browse files- scheduler.pt +3 -0
scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:16f80b2d5b968d058e6a9f44b243170436f963048a658ffc0e2272a63bdc2c72
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size 623
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