Instructions to use jayanta/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jayanta/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="jayanta/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("jayanta/test") model = AutoModelForImageClassification.from_pretrained("jayanta/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 19.73, | |
| "total_flos": 2.8684782950326272e+17, | |
| "train_loss": 0.7573485970497131, | |
| "train_runtime": 850.4827, | |
| "train_samples_per_second": 16.085, | |
| "train_steps_per_second": 0.047 | |
| } |