Instructions to use Subhaaannn/image_classification1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Subhaaannn/image_classification1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Subhaaannn/image_classification1") 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("Subhaaannn/image_classification1") model = AutoModelForImageClassification.from_pretrained("Subhaaannn/image_classification1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 536a75a7bc1490023e554baf89908964dc5010c80674de744539f4879fd09db4
- Size of remote file:
- 4.6 kB
- SHA256:
- 8efb746756c3d96d3bad8c892699da88ad94dfaa2a1e4b8668415f6611293366
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