Instructions to use Priyanship/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Priyanship/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Priyanship/output")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Priyanship/output") model = AutoModelForCTC.from_pretrained("Priyanship/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 9.6, | |
| "eval_cer": 0.4133216406903974, | |
| "eval_loss": 1.9947007894515991, | |
| "eval_runtime": 158.2803, | |
| "eval_samples": 3136, | |
| "eval_samples_per_second": 19.813, | |
| "eval_steps_per_second": 1.238, | |
| "eval_wer": 0.6194798466480157 | |
| } |