Image Classification
Transformers
PyTorch
TensorBoard
vit
other-image-classification
Generated from Trainer
Vit
Eval Results (legacy)
Instructions to use Mytical/ClassificationOfLeaves with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mytical/ClassificationOfLeaves with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Mytical/ClassificationOfLeaves") 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("Mytical/ClassificationOfLeaves") model = AutoModelForImageClassification.from_pretrained("Mytical/ClassificationOfLeaves") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 5.0, | |
| "total_flos": 0.0, | |
| "train_loss": 0.11144641899145566, | |
| "train_runtime": 271.4578, | |
| "train_samples_per_second": 19.045, | |
| "train_steps_per_second": 1.197 | |
| } |