Instructions to use Inf009/view-angle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Inf009/view-angle with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Inf009/view-angle") 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("Inf009/view-angle") model = AutoModelForImageClassification.from_pretrained("Inf009/view-angle", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Inf009/view-angle: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/Inf009/view-angle/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Inf009/view-angle/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Inf009/view-angle/resolve/main/pytorch_model.bin
343 MB
- Xet hash:
- b17a7bb91bc2d432ecfcd9537bf98443ead2bd6ebf95fd3bbd78e161ce97010f
- Size of remote file:
- 343 MB
- SHA256:
- fce0d0fd32685cf82b491a8026b7cfd61f0a1167b8655cdea1816435fe6a5673
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