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_15-28-02_0ea876ca526a /events.out.tfevents.1725465739.0ea876ca526a.551.1
- Xet hash:
- fff885eaaf7a34e2034a0f49ba59153b31b63679d814c4a91068c0375acc553d
- Size of remote file:
- 410 Bytes
- SHA256:
- e200d7eb2d845034cdcbb77fe3036b9a9c786e1144c934dbcdf9349cc4eeec3c
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