Instructions to use CVPROJ25/finetuned-model-test-3-6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CVPROJ25/finetuned-model-test-3-6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="CVPROJ25/finetuned-model-test-3-6") 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("CVPROJ25/finetuned-model-test-3-6") model = AutoModelForImageClassification.from_pretrained("CVPROJ25/finetuned-model-test-3-6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 898c0c22c50a198fdbb5360a278833bf9833c181ee784dec740fa430a27dabf7
- Size of remote file:
- 5.2 kB
- SHA256:
- 1c00a00712355c4316a40daf868fe2c995c1e22dec6d780399459933b5e980d6
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