Instructions to use NDSrex/Beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NDSrex/Beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="NDSrex/Beans") 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("NDSrex/Beans") model = AutoModelForImageClassification.from_pretrained("NDSrex/Beans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from NDSrex/Beans: direct link, hf CLI and curl.
- Browser
- Download file 687 MB
-
https://huggingface.co/NDSrex/Beans/resolve/refs%2Fpr%2F4/optimizer.pt
- Command line
-
hf download hf://NDSrex/Beans@refs/pr/4/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/NDSrex/Beans/resolve/refs%2Fpr%2F4/optimizer.pt
687 MB
- Xet hash:
- f7f0a7d000e42cfd3d0e327f4897d691dc54b4a92321c3b97cbe9016c03e8cd5
- Size of remote file:
- 687 MB
- SHA256:
- ff2d49a2ad2df39c3c1b8ba9be349127ce620615e5d7fd3e5d5121180e011ab5
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