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
Ctrl+K
- conversion_scripts
- distil_whisper
- distillation_scripts
- evaluation_scripts
- finetuning_scripts
- initialisation_scripts
- latency_scripts
- long_form_transcription_scripts
- noise_evaluation_scripts
- pseudo_labelling_scripts
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