Image Classification
Transformers
TensorBoard
Safetensors
convnext
Generated from Trainer
Eval Results (legacy)
Instructions to use jinneer/convnext-tiny-224-eurosat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jinneer/convnext-tiny-224-eurosat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="jinneer/convnext-tiny-224-eurosat") 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("jinneer/convnext-tiny-224-eurosat") model = AutoModelForImageClassification.from_pretrained("jinneer/convnext-tiny-224-eurosat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 28d3703c226b4562e6f3791b06ae8a2a5f782659944109850acb11fe00b08001
- Size of remote file:
- 4.98 kB
- SHA256:
- 74739e8829aa381a257d9a30d65426878119072710e2aafef065acb62b8cb959
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