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
| TCMALLOC_LARGE_ALLOC_REPORT_THRESHOLD=10000000000 python create_student_model.py \ | |
| --teacher_checkpoint "openai/whisper-medium.en" \ | |
| --decoder_layers 2 \ | |
| --save_dir "./" | |