Instructions to use nielsr/convnext-tiny-finetuned-eurostat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nielsr/convnext-tiny-finetuned-eurostat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="nielsr/convnext-tiny-finetuned-eurostat") 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("nielsr/convnext-tiny-finetuned-eurostat") model = AutoModelForImageClassification.from_pretrained("nielsr/convnext-tiny-finetuned-eurostat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nielsr/convnext-tiny-finetuned-eurostat: direct link, hf CLI and curl.
- Browser
- Download file 111 MB
-
https://huggingface.co/nielsr/convnext-tiny-finetuned-eurostat/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nielsr/convnext-tiny-finetuned-eurostat/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nielsr/convnext-tiny-finetuned-eurostat/resolve/main/pytorch_model.bin
111 MB
- Xet hash:
- 26509b73cd0762235025b4e5c5bebe2de4ef9ca94ea767a2a872c195c95e159a
- Size of remote file:
- 111 MB
- SHA256:
- 3a742340eaab0ce1e784ef68c4842e205fb2a7581199be7f0a7d65a32f074855
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