Instructions to use KasuleTrevor/cdli-whisper-en-ug-sunbird-encoder-a40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KasuleTrevor/cdli-whisper-en-ug-sunbird-encoder-a40 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="KasuleTrevor/cdli-whisper-en-ug-sunbird-encoder-a40")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("KasuleTrevor/cdli-whisper-en-ug-sunbird-encoder-a40") model = AutoModelForMultimodalLM.from_pretrained("KasuleTrevor/cdli-whisper-en-ug-sunbird-encoder-a40") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 7.717710750193349, | |
| "test_cer": 0.14153662959369376, | |
| "test_loss": 0.6850897073745728, | |
| "test_runtime": 608.3737, | |
| "test_samples_per_second": 1.665, | |
| "test_steps_per_second": 0.418, | |
| "test_wer": 0.2245543466207757 | |
| } |