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/863385a034b1602018236a4c8ed8be2cdf9a1694/training_args.bin
- Command line
-
hf download hf://karim155/convnext-tiny-224-finetuned@863385a034b1602018236a4c8ed8be2cdf9a1694/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/karim155/convnext-tiny-224-finetuned/resolve/863385a034b1602018236a4c8ed8be2cdf9a1694/training_args.bin
5.18 kB
- Xet hash:
- 5a231ca1e69608a5987cd79fce90016dcaa693e1bb195d5b9d4dbff14e90d14c
- Size of remote file:
- 5.18 kB
- SHA256:
- c97d28ab4ac7ac4207d20a7f67c3fd7ac9ba4dea99e1866247e86b1c50674d50
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