Instructions to use iyzg/computer-stuff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iyzg/computer-stuff with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="iyzg/computer-stuff") 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("iyzg/computer-stuff") model = AutoModelForImageClassification.from_pretrained("iyzg/computer-stuff", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from iyzg/computer-stuff: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/iyzg/computer-stuff/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://iyzg/computer-stuff@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/iyzg/computer-stuff/resolve/refs%2Fpr%2F1/pytorch_model.bin
343 MB
- Xet hash:
- edfa432280f458d83732084a8617e264c8f572a978a7fc4c67743b1e61aa6ff5
- Size of remote file:
- 343 MB
- SHA256:
- 7b4370669e431207fd8b85698e0f130c5e522247a4b771aa0dead5203fd376cc
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