Instructions to use jimjakdiend/Checkpoints2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jimjakdiend/Checkpoints2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="jimjakdiend/Checkpoints2") 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("jimjakdiend/Checkpoints2") model = AutoModelForImageClassification.from_pretrained("jimjakdiend/Checkpoints2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc6d12a16a5e9e09753d4b0c6298803192a93d5d9b200dfad4490c631cfa4b43
- Size of remote file:
- 4.66 kB
- SHA256:
- d97e7f605a1d0ec3a272bfba8f3a396a59dfb06f7be328ea60c1da706b29ab1a
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