Instructions to use lnxdx/19_2000_1e-5_hp-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lnxdx/19_2000_1e-5_hp-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lnxdx/19_2000_1e-5_hp-base")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("lnxdx/19_2000_1e-5_hp-base") model = AutoModelForCTC.from_pretrained("lnxdx/19_2000_1e-5_hp-base") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 12.5, | |
| "total_flos": 9.605345431463184e+18, | |
| "train_loss": 1.0512529983520509, | |
| "train_runtime": 9036.2889, | |
| "train_samples": 2554, | |
| "train_samples_per_second": 3.541, | |
| "train_steps_per_second": 0.221 | |
| } |