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")# 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
convnext-tiny-224-finetuned / runs /Sep04_17-57-52_93e6f912ca7d /events.out.tfevents.1725476123.93e6f912ca7d.1732.1
- Xet hash:
- 38c0d02bc01f03694ecfc71f2cb3b83c45003f6ddc7f10e662d01e95351b4596
- Size of remote file:
- 410 Bytes
- SHA256:
- ce162503331238f6c8ee02fde0c40daead677bb56c46da821e7b757d3d1e3c0b
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