Instructions to use amrul-hzz/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amrul-hzz/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="amrul-hzz/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("amrul-hzz/image_classification") model = AutoModelForImageClassification.from_pretrained("amrul-hzz/image_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from amrul-hzz/image_classification: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/amrul-hzz/image_classification/resolve/main/training_args.bin
- Command line
-
hf download hf://amrul-hzz/image_classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/amrul-hzz/image_classification/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- 342f10551494c6c7213df4e9d45f227f4bfc8120d288914051d9ad527508b37d
- Size of remote file:
- 4.09 kB
- SHA256:
- 4d1db2caa2f6ab33efdebf750c2d6494f57b657b473836aa89501467e0676366
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