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
Invalid JSON:Unexpected token 'N', ..."al_loss": NaN,
""... is not valid JSON
| { | |
| "eval_cer": 1.0, | |
| "eval_loss": NaN, | |
| "eval_model_preparation_time": 0.0045, | |
| "eval_runtime": 166.3903, | |
| "eval_samples": 3136, | |
| "eval_samples_per_second": 18.847, | |
| "eval_steps_per_second": 2.356, | |
| "eval_wer": 1.0 | |
| } |