Instructions to use wenmingface/custom-resnet50d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wenmingface/custom-resnet50d with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="wenmingface/custom-resnet50d", trust_remote_code=True) pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModelForImageClassification model = AutoModelForImageClassification.from_pretrained("wenmingface/custom-resnet50d", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle