Instructions to use holylovenia/problem2-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use holylovenia/problem2-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="holylovenia/problem2-test") 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("holylovenia/problem2-test") model = AutoModelForImageClassification.from_pretrained("holylovenia/problem2-test") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 4.9, | |
| "total_flos": 2.76987521728512e+16, | |
| "train_loss": 5.3129854474748885, | |
| "train_runtime": 102.3477, | |
| "train_samples_per_second": 11.92, | |
| "train_steps_per_second": 0.342 | |
| } |