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- all_results.json +6 -6
- model.safetensors +1 -1
- runs/Aug19_11-03-24_6801bce4c4b3/events.out.tfevents.1724065922.6801bce4c4b3.1808.3 +3 -0
- runs/Aug19_11-15-29_6801bce4c4b3/events.out.tfevents.1724066134.6801bce4c4b3.1808.4 +3 -0
- train_results.json +6 -6
- trainer_state.json +43 -36
- training_args.bin +1 -1
all_results.json
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model.safetensors
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runs/Aug19_11-03-24_6801bce4c4b3/events.out.tfevents.1724065922.6801bce4c4b3.1808.3
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train_results.json
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trainer_state.json
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training_args.bin
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