Instructions to use fxmarty/resnet-tiny-beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fxmarty/resnet-tiny-beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="fxmarty/resnet-tiny-beans") 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("fxmarty/resnet-tiny-beans") model = AutoModelForImageClassification.from_pretrained("fxmarty/resnet-tiny-beans") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.7368421052631579, | |
| "eval_loss": 0.7412705421447754, | |
| "eval_runtime": 0.7249, | |
| "eval_samples_per_second": 183.475, | |
| "eval_steps_per_second": 23.452 | |
| } |