Instructions to use frgfm/rexnet1_0x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use frgfm/rexnet1_0x with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="frgfm/rexnet1_0x") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("frgfm/rexnet1_0x", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
fix: Fixed ONNX checkpoint f130378
fg-mindee commited on
feat: Added ONNX model 99d160b
fg-mindee commited on
docs: Updated README c1db9af
fg-mindee commited on
feat: Added first version e69f58b
fg-mindee commited on