Instructions to use jnmrr/ds3-img-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jnmrr/ds3-img-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="jnmrr/ds3-img-classification") 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("jnmrr/ds3-img-classification") model = AutoModelForImageClassification.from_pretrained("jnmrr/ds3-img-classification") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 0.9922480620155039, | |
| "total_flos": 8.978215898519175e+18, | |
| "train_loss": 4.798892915248871, | |
| "train_runtime": 164.8721, | |
| "train_samples_per_second": 198.857, | |
| "train_steps_per_second": 0.388 | |
| } |