Instructions to use AIPI540/art_predict with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AIPI540/art_predict with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="AIPI540/art_predict") 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("AIPI540/art_predict") model = AutoModelForImageClassification.from_pretrained("AIPI540/art_predict", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AIPI540/art_predict: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/AIPI540/art_predict/resolve/main/training_args.bin
- Command line
-
hf download hf://AIPI540/art_predict/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AIPI540/art_predict/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- de47d19a850339fcf83e3a49e7930bfbaaf3d57d7a1f2e0694b01570c285844e
- Size of remote file:
- 4.54 kB
- SHA256:
- 299eed89fba29de433804e63ed4f19151f91cf900643f8ea48b1676ca1d794dc
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