Instructions to use ProbeX/Model-J__ResNet__model_idx_0624 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProbeX/Model-J__ResNet__model_idx_0624 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ProbeX/Model-J__ResNet__model_idx_0624") 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("ProbeX/Model-J__ResNet__model_idx_0624") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__ResNet__model_idx_0624") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
5929fcf | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b45702b6c09a6b8b8d7d4ae0d9ccf17e24ad104ce1e6057d51dd96a001023018
size 5368
|