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
Training in progress, epoch 0
Browse files- model.safetensors +1 -1
- runs/Sep04_20-41-23_f3b6a1161436/events.out.tfevents.1725482538.f3b6a1161436.824.0 +3 -0
- runs/Sep04_20-41-23_f3b6a1161436/events.out.tfevents.1725487125.f3b6a1161436.824.1 +3 -0
- runs/Sep04_20-41-23_f3b6a1161436/events.out.tfevents.1725487375.f3b6a1161436.824.2 +3 -0
- training_args.bin +1 -1
model.safetensors
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