Instructions to use Ahmed9275/ALL-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ahmed9275/ALL-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Ahmed9275/ALL-test") 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("Ahmed9275/ALL-test") model = AutoModelForImageClassification.from_pretrained("Ahmed9275/ALL-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a6166067acd937b897891e1950c3ef4d80e1a50e49ba98c0cde073aaeaf981e9
- Size of remote file:
- 113 MB
- SHA256:
- 9aeaef09aa3436b91b84e6659c9817cd505b22859cabfcf61cd772198048419a
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