Image Classification
Transformers
PyTorch
TensorBoard
convnextv2
Generated from Trainer
Eval Results (legacy)
Instructions to use ahmedALM1221/convnextv2-large-1k-224-finetuned-eurosat-50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahmedALM1221/convnextv2-large-1k-224-finetuned-eurosat-50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ahmedALM1221/convnextv2-large-1k-224-finetuned-eurosat-50") 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("ahmedALM1221/convnextv2-large-1k-224-finetuned-eurosat-50") model = AutoModelForImageClassification.from_pretrained("ahmedALM1221/convnextv2-large-1k-224-finetuned-eurosat-50", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
faf291b
1
Parent(s): 2d61f6e
Model save
Browse files
runs/Jul06_17-57-12_86ee152215b1/events.out.tfevents.1688666516.86ee152215b1.2511.5
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