Instructions to use karim155/convnext-tiny-224-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karim155/convnext-tiny-224-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="karim155/convnext-tiny-224-finetuned") 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("karim155/convnext-tiny-224-finetuned") model = AutoModelForImageClassification.from_pretrained("karim155/convnext-tiny-224-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from karim155/convnext-tiny-224-finetuned: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/karim155/convnext-tiny-224-finetuned/resolve/55a71dc15fce93412ccc53e167fd651da0384100/training_args.bin
- Command line
-
hf download hf://karim155/convnext-tiny-224-finetuned@55a71dc15fce93412ccc53e167fd651da0384100/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/karim155/convnext-tiny-224-finetuned/resolve/55a71dc15fce93412ccc53e167fd651da0384100/training_args.bin
5.18 kB
- Xet hash:
- 86fbc8624c0e026da40c962b78d515fb74ffc762356b8345152361b9c2050d85
- Size of remote file:
- 5.18 kB
- SHA256:
- 3ebabc1689913ed01c06d9f70c768efb64b111b87c4d7cf605d87a2d50ecf3e5
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