Instructions to use supawichwac/training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use supawichwac/training with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="supawichwac/training")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("supawichwac/training") model = AutoModelForSpeechSeq2Seq.from_pretrained("supawichwac/training") - Notebooks
- Google Colab
- Kaggle
| check_dirs := . | |
| quality: | |
| black --check $(check_dirs) | |
| ruff $(check_dirs) | |
| style: | |
| black $(check_dirs) | |
| ruff $(check_dirs) --fix | |