Instructions to use frgfm/repvgg_a1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use frgfm/repvgg_a1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="frgfm/repvgg_a1") 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_a1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
fg-mindee commited on
Commit ·
e053ec0
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Parent(s): 13930a1
feat: Added ONNX model
Browse files- model.onnx +3 -0
model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:c9c8e9d4fd03eb783f4a6501b4b9192b3ad057de0b14402ae27b7d4cbd471d1f
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size 108328624
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