Instructions to use diffusionai/skinclassifier2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diffusionai/skinclassifier2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="diffusionai/skinclassifier2") 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("diffusionai/skinclassifier2") model = AutoModelForImageClassification.from_pretrained("diffusionai/skinclassifier2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 208 Bytes
d009ab0 | 1 2 3 4 5 6 7 8 | {
"epoch": 5.0,
"total_flos": 3.545449175052288e+17,
"train_loss": 0.48534091012231234,
"train_runtime": 1027.0889,
"train_samples_per_second": 4.454,
"train_steps_per_second": 0.282
} |