Instructions to use ArsalanAnwar/test-image-classification-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArsalanAnwar/test-image-classification-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ArsalanAnwar/test-image-classification-model") 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("ArsalanAnwar/test-image-classification-model") model = AutoModelForImageClassification.from_pretrained("ArsalanAnwar/test-image-classification-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ArsalanAnwar/test-image-classification-model: direct link, hf CLI and curl.
- Browser
- Download file 678 kB
-
https://huggingface.co/ArsalanAnwar/test-image-classification-model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ArsalanAnwar/test-image-classification-model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ArsalanAnwar/test-image-classification-model/resolve/main/pytorch_model.bin
678 kB
- Xet hash:
- ecb13f39b7f39b41766d5ae53b772bd1b2d6ae05bab672119d7901857f8eb46e
- Size of remote file:
- 678 kB
- SHA256:
- 50cc71b662275ef3f53406761ec520bffd11ccf0560f6f1f2591a4a34355720d
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