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
Ctrl+K
- Aug19_10-42-47_6801bce4c4b3
- Aug19_11-03-24_6801bce4c4b3
- Aug19_11-15-29_6801bce4c4b3
- Aug19_11-29-30_6801bce4c4b3
- Aug19_12-09-42_60e65509f3ae
- Aug19_12-49-18_60e65509f3ae
- Sep04_13-45-24_46f09eaeef87
- Sep04_15-28-02_0ea876ca526a
- Sep04_16-03-11_0ea876ca526a
- Sep04_17-57-52_93e6f912ca7d
- Sep04_19-03-43_93e6f912ca7d
- Sep04_20-41-23_f3b6a1161436
- Sep04_23-29-33_9dd536aedd2c