Instructions to use Alfiyani/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alfiyani/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Alfiyani/image_classification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Alfiyani/image_classification") model = AutoModelForImageClassification.from_pretrained("Alfiyani/image_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Alfiyani/image_classification: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/Alfiyani/image_classification/resolve/7fdd61ee28fa6fdc9d0687ea57ecccd2ed20249c/pytorch_model.bin
- Command line
-
hf download hf://Alfiyani/image_classification@7fdd61ee28fa6fdc9d0687ea57ecccd2ed20249c/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Alfiyani/image_classification/resolve/7fdd61ee28fa6fdc9d0687ea57ecccd2ed20249c/pytorch_model.bin
343 MB
- Xet hash:
- a19f78f9c88f97a30c195816bcb1a001125a2f5bac8615863df98e7648c03437
- Size of remote file:
- 343 MB
- SHA256:
- bafc6256c3a9f8fb6fd695b5c2390566730d89612e10ffbe5fc0618d0c5ba3f5
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