Instructions to use jnmrr/ds3-img-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jnmrr/ds3-img-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="jnmrr/ds3-img-classification") 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("jnmrr/ds3-img-classification") model = AutoModelForImageClassification.from_pretrained("jnmrr/ds3-img-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b02fd52df8a558870f8dba5e1ef7c84123c9a57938df51a48b0a2e8a159ef6d
- Size of remote file:
- 5.37 kB
- SHA256:
- 5303c2eee1a2a0f03943849b01f3f9eb8ddea13fa808e8ed7ade34eba227eba4
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