Instructions to use Ahmed9275/ALL-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ahmed9275/ALL-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Ahmed9275/ALL-3") 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-3") model = AutoModelForImageClassification.from_pretrained("Ahmed9275/ALL-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61515ac6186e10f4b1b49c15ff80ab2895b375fd0efe043201877919d831e082
- Size of remote file:
- 113 MB
- SHA256:
- eab26cab1e3eb1d80ecca3c433c14f874c3615b38c47630cbf3db8ed9d26d62b
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