Instructions to use 100rab25/bridalMakeupClassifier_binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 100rab25/bridalMakeupClassifier_binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="100rab25/bridalMakeupClassifier_binary") 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("100rab25/bridalMakeupClassifier_binary") model = AutoModelForImageClassification.from_pretrained("100rab25/bridalMakeupClassifier_binary") - Notebooks
- Google Colab
- Kaggle
File size: 261 Bytes
49d4fd8 | 1 2 3 4 5 6 7 8 9 10 11 | {
"epoch": 20.0,
"eval_accuracy": 1.0,
"eval_f1": 1.0,
"eval_loss": 0.00724475271999836,
"eval_precision": 1.0,
"eval_recall": 1.0,
"eval_runtime": 0.6251,
"eval_samples_per_second": 519.879,
"eval_steps_per_second": 17.596
} |