Image Classification
Transformers
TensorBoard
Safetensors
convnext
Generated from Trainer
Eval Results (legacy)
Instructions to use vlevi/convnext-tiny-224-finetuned-eurosat-albumentations with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vlevi/convnext-tiny-224-finetuned-eurosat-albumentations with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="vlevi/convnext-tiny-224-finetuned-eurosat-albumentations") 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("vlevi/convnext-tiny-224-finetuned-eurosat-albumentations") model = AutoModelForImageClassification.from_pretrained("vlevi/convnext-tiny-224-finetuned-eurosat-albumentations", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vlevi/convnext-tiny-224-finetuned-eurosat-albumentations: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/vlevi/convnext-tiny-224-finetuned-eurosat-albumentations/resolve/669e644b522cd9ae54342fd1c8b47cee0e5fe598/training_args.bin
- Command line
-
hf download hf://vlevi/convnext-tiny-224-finetuned-eurosat-albumentations@669e644b522cd9ae54342fd1c8b47cee0e5fe598/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vlevi/convnext-tiny-224-finetuned-eurosat-albumentations/resolve/669e644b522cd9ae54342fd1c8b47cee0e5fe598/training_args.bin
4.98 kB
- Xet hash:
- f4841533de15678b1f5079f35f41393633e11eb192f91abbf5a7c75128e42669
- Size of remote file:
- 4.98 kB
- SHA256:
- 55026e1021365dbf3d7a0e2f079d7c68720692ad48d54ba67c6285da91fa143d
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