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 /Aug19_12-09-42_60e65509f3ae /events.out.tfevents.1724069388.60e65509f3ae.3602.0
- Xet hash:
- a3a136fc3a83ff2e2da5b8887516cdf15e8e7a72c06bc61fcfe6fd48f06c6d80
- Size of remote file:
- 10.3 kB
- SHA256:
- cac38eab3a99738cd43959fd4b8d0012021efd1a4d1f4bd9e3b8b8f137511f61
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