Instructions to use garykai/rbc_multi_irregular with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use garykai/rbc_multi_irregular with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="garykai/rbc_multi_irregular") 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("garykai/rbc_multi_irregular") model = AutoModelForImageClassification.from_pretrained("garykai/rbc_multi_irregular", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from garykai/rbc_multi_irregular: direct link, hf CLI and curl.
- Browser
- Download file 3.57 kB
-
https://huggingface.co/garykai/rbc_multi_irregular/resolve/main/training_args.bin
- Command line
-
hf download hf://garykai/rbc_multi_irregular/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/garykai/rbc_multi_irregular/resolve/main/training_args.bin
3.57 kB
- Xet hash:
- b6fad013713baddf6b1f411d75bf6cdd28ccb9673cec1391041b54ede2871259
- Size of remote file:
- 3.57 kB
- SHA256:
- a2e84ce18ae06f22896b62c6f20c802b3c44520ff3de7884504087c9f757fe64
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