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 pytorch_model.bin from garykai/rbc_binary_ivo: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/garykai/rbc_binary_ivo/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://garykai/rbc_binary_ivo/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/garykai/rbc_binary_ivo/resolve/main/pytorch_model.bin
343 MB
- Xet hash:
- 2a0ad9f5e2d9b4c0aeb33ce2470fe0e12a61975011f5d0ee78e25a738ab36e40
- Size of remote file:
- 343 MB
- SHA256:
- 712b33174e8b9138fb3ffd0043c03da0a233f7263db417889f2c6d687284b1c2
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