Instructions to use gary2002/output_dir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gary2002/output_dir with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="gary2002/output_dir") 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("gary2002/output_dir") model = AutoModelForImageClassification.from_pretrained("gary2002/output_dir") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.9876543209876543, | |
| "eval_loss": 0.8449140191078186, | |
| "eval_runtime": 4.6209, | |
| "eval_samples_per_second": 17.529, | |
| "eval_steps_per_second": 4.545, | |
| "total_flos": 1.6948561394167603e+17, | |
| "train_loss": 0.7343477571391623, | |
| "train_runtime": 162.6903, | |
| "train_samples_per_second": 13.443, | |
| "train_steps_per_second": 1.346 | |
| } |