Image Classification
Transformers
PyTorch
Core ML
ONNX
Safetensors
convnext
Generated from Trainer
Eval Results (legacy)
Instructions to use flyswot/convnext-tiny-224_flyswot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flyswot/convnext-tiny-224_flyswot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="flyswot/convnext-tiny-224_flyswot") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("flyswot/convnext-tiny-224_flyswot") model = AutoModelForImageClassification.from_pretrained("flyswot/convnext-tiny-224_flyswot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.onnx from flyswot/convnext-tiny-224_flyswot: direct link, hf CLI and curl.
- Browser
- Download file 111 MB
-
https://huggingface.co/flyswot/convnext-tiny-224_flyswot/resolve/main/model.onnx
- Command line
-
hf download hf://flyswot/convnext-tiny-224_flyswot/model.onnx
-
curl -L -o model.onnx https://huggingface.co/flyswot/convnext-tiny-224_flyswot/resolve/main/model.onnx
111 MB
- Xet hash:
- b990b9bae40d1b329f4a2a0c442392f45f4e2ca2e26b77478cad55d8b35c6008
- Size of remote file:
- 111 MB
- SHA256:
- d7b1daa6c018f67034734243785e39938f988ec5b8644fa62ad9bc8b443e50dd
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