Instructions to use bartelds/gos-gpum-cp0_adp0_144m-silver_48-orig_5e-5_cp-8000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bartelds/gos-gpum-cp0_adp0_144m-silver_48-orig_5e-5_cp-8000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bartelds/gos-gpum-cp0_adp0_144m-silver_48-orig_5e-5_cp-8000")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("bartelds/gos-gpum-cp0_adp0_144m-silver_48-orig_5e-5_cp-8000") model = AutoModelForCTC.from_pretrained("bartelds/gos-gpum-cp0_adp0_144m-silver_48-orig_5e-5_cp-8000") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 36d610f40334491b4016d2ab375b692b66031c73c2c517d492bcd03c39baeddf
- Size of remote file:
- 1.26 GB
- SHA256:
- b405f877b00bfde6fef5bbc16f11017d6060556be8be2fbe075439141eaaf2b8
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