Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
convnext
Generated from Trainer
CV
ConvNeXT
satellite
EuroSAT
Eval Results (legacy)
Instructions to use mrm8488/convnext-tiny-finetuned-eurosat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/convnext-tiny-finetuned-eurosat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mrm8488/convnext-tiny-finetuned-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("mrm8488/convnext-tiny-finetuned-eurosat") model = AutoModelForImageClassification.from_pretrained("mrm8488/convnext-tiny-finetuned-eurosat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f36e2510e5eb6945a385ac158bae68308a34827ac644af3eeb583b363531019
- Size of remote file:
- 3.12 kB
- SHA256:
- 24192deea37e1be13cf5e61da95b2b94c11caaee0a65b5112a5a5541671e72e2
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