Instructions to use huydt/large_config with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huydt/large_config with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="huydt/large_config")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("huydt/large_config") model = AutoModelForSpeechSeq2Seq.from_pretrained("huydt/large_config") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09ee42a34a519da30b002a4c8a5f4420721f41ca713e72b50adcb003fe6794f2
- Size of remote file:
- 290 MB
- SHA256:
- c3b853f386f9ddc243f36b6c61a7f352133d5475257269dedc469cffff17cebf
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