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_16-03-11_0ea876ca526a /events.out.tfevents.1725465798.0ea876ca526a.551.2
- Xet hash:
- 47e0aee2565331529bfcb2735124a17b02d66ee0df3a028a33e2a0039b83bd83
- Size of remote file:
- 19.8 kB
- SHA256:
- d7512c03ec54adebc986c40a12c20d59c89d7e6429a2531dc77f4fbe7c1d6706
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