Instructions to use DamarJati/NSFW-Filterization-DecentScan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DamarJati/NSFW-Filterization-DecentScan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="DamarJati/NSFW-Filterization-DecentScan") 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("DamarJati/NSFW-Filterization-DecentScan") model = AutoModelForImageClassification.from_pretrained("DamarJati/NSFW-Filterization-DecentScan") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 2.94, | |
| "eval_accuracy": 0.9884393063583815, | |
| "eval_loss": 0.033755671232938766, | |
| "eval_runtime": 3.2544, | |
| "eval_samples_per_second": 53.158, | |
| "eval_steps_per_second": 1.844, | |
| "total_flos": 1.1374100559927706e+17, | |
| "train_loss": 0.14240310589472452, | |
| "train_runtime": 144.8377, | |
| "train_samples_per_second": 32.146, | |
| "train_steps_per_second": 0.249 | |
| } |