Instructions to use ProbeX/Model-J__ResNet__model_idx_0319 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_0319 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_0319") 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_0319") model = AutoModelForImageClassification.from_pretrained("ProbeX/Model-J__ResNet__model_idx_0319") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
4b80c9e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8e247e6094de56f03b734ad1c4d235c84db3c102461945529f6a447ee618756c
size 5368
|