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
Commit History
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Add Core ML conversion (#2)
- Add Core ML conversion (114380727b0759518fc5fae03c4575e0c0a92a90)24c9342
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (f3f7c3fa273c7df25a349d41b0bca195600c2b3d)9b84c86
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update model card README.md
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