Instructions to use gary2002/output_dir-full_dataset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gary2002/output_dir-full_dataset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="gary2002/output_dir-full_dataset") 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-full_dataset") model = AutoModelForImageClassification.from_pretrained("gary2002/output_dir-full_dataset") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "total_flos": 6.779424557667041e+18, | |
| "train_loss": 1.086526616065536, | |
| "train_runtime": 4256.354, | |
| "train_samples_per_second": 20.553, | |
| "train_steps_per_second": 2.055 | |
| } |