Instructions to use enrybds/firstmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use enrybds/firstmodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="enrybds/firstmodel")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("enrybds/firstmodel") model = AutoModelForCTC.from_pretrained("enrybds/firstmodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 29.93, | |
| "total_flos": 1.2113636824678656e+18, | |
| "train_loss": 20.16470682053339, | |
| "train_runtime": 1180.2334, | |
| "train_samples": 120, | |
| "train_samples_per_second": 3.05, | |
| "train_steps_per_second": 0.178 | |
| } |