Instructions to use frgfm/repvgg_a0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use frgfm/repvgg_a0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="frgfm/repvgg_a0") 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/repvgg_a0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
feat: Added ONNX model 02a290c
fg-mindee commited on
refactor: Updated config.json 494fb5f
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docs: Updated README 5549b09
fg-mindee commited on
refactor: Updated config c51d245
fg-mindee commited on
refactor: Updated JSON 6bd4822
fg-mindee commited on
fix: Fixed JSON 2e8fd12
fg-mindee commited on
feat: First model version b409e56
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