Instructions to use AkshatSurolia/ConvNeXt-FaceMask-Finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AkshatSurolia/ConvNeXt-FaceMask-Finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="AkshatSurolia/ConvNeXt-FaceMask-Finetuned") 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("AkshatSurolia/ConvNeXt-FaceMask-Finetuned") model = AutoModelForImageClassification.from_pretrained("AkshatSurolia/ConvNeXt-FaceMask-Finetuned") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.54, | |
| "eval_accuracy": 0.9961067853170189, | |
| "eval_loss": 0.015090291388332844, | |
| "eval_runtime": 83.4738, | |
| "eval_samples_per_second": 43.079, | |
| "eval_steps_per_second": 5.391 | |
| } |