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")# 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
- Xet hash:
- 0c6d7800e47c4a15713e8d497890c1508bfcf0d663d5a5e5b0ab124f7acc5356
- Size of remote file:
- 111 MB
- SHA256:
- 3767e09431a4607a827498c2a57b6c23854eb98a6d3a915cef63c4072b8c90a6
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