Instructions to use sudo-s/modelversion01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/modelversion01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/modelversion01") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("sudo-s/modelversion01") model = AutoModelForImageClassification.from_pretrained("sudo-s/modelversion01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.7224363916730917, | |
| "eval_loss": 1.388809323310852, | |
| "eval_runtime": 31.0004, | |
| "eval_samples_per_second": 83.676, | |
| "eval_steps_per_second": 10.484, | |
| "total_flos": 7.922356224994714e+17, | |
| "train_loss": 2.18192570049065, | |
| "train_runtime": 471.371, | |
| "train_samples_per_second": 21.66, | |
| "train_steps_per_second": 1.356 | |
| } |