Instructions to use bartelds/gos-gpum-cp0_adp0_96m-silver_96-orig_1e-4_cp-11000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bartelds/gos-gpum-cp0_adp0_96m-silver_96-orig_1e-4_cp-11000 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_96m-silver_96-orig_1e-4_cp-11000")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("bartelds/gos-gpum-cp0_adp0_96m-silver_96-orig_1e-4_cp-11000") model = AutoModelForCTC.from_pretrained("bartelds/gos-gpum-cp0_adp0_96m-silver_96-orig_1e-4_cp-11000") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aad5a1608df8f31051a55c8124f1c1b2b6f3a1a2c76d1daa060fa4cb3a3719f9
- Size of remote file:
- 1.26 GB
- SHA256:
- 6a952e18d685d5feb85c21ca78192c71da79da21247fe1bc6a44bd25e3187cb7
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