Instructions to use garykai/rbc_binary_ivo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use garykai/rbc_binary_ivo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="garykai/rbc_binary_ivo") 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_binary_ivo") model = AutoModelForImageClassification.from_pretrained("garykai/rbc_binary_ivo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from garykai/rbc_binary_ivo: direct link, hf CLI and curl.
- Browser
- Download file 3.57 kB
-
https://huggingface.co/garykai/rbc_binary_ivo/resolve/main/training_args.bin
- Command line
-
hf download hf://garykai/rbc_binary_ivo/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/garykai/rbc_binary_ivo/resolve/main/training_args.bin
3.57 kB
- Xet hash:
- 4b3b98079698cba7c0dd4f410c5d0d0bee9ad5579c935c3d5ecb167ac59bb1f8
- Size of remote file:
- 3.57 kB
- SHA256:
- 3ef4ff37a77d2a395022f844c5221f490c6c0f11ed9c6ba01bcd99722508b9d1
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