Instructions to use nullonesix/training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nullonesix/training with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="nullonesix/training")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("nullonesix/training") model = AutoModelForSpeechSeq2Seq.from_pretrained("nullonesix/training") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 193930bc37a60225570d1e41ef93bd79a9f15acb059a6b85de22989f07de18ca
- Size of remote file:
- 470 MB
- SHA256:
- cfba7e103c038786265c32a66fc0662d52ff0e8687fc9616af95fb9249260e3d
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