Instructions to use flyswot/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flyswot/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="flyswot/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("flyswot/test") model = AutoModelForImageClassification.from_pretrained("flyswot/test") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 0.0, | |
| "eval_accuracy": 0.15708812260536398, | |
| "eval_f1": 0.10951914110924829, | |
| "eval_loss": 2.2501182556152344, | |
| "eval_precision": 0.11397786789695766, | |
| "eval_recall": 0.14094382256290108, | |
| "eval_runtime": 37.0603, | |
| "eval_samples_per_second": 7.043, | |
| "eval_steps_per_second": 1.781 | |
| } |