Instructions to use sudo-s/robot22 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/robot22 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/robot22") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("sudo-s/robot22") model = AutoModelForImageClassification.from_pretrained("sudo-s/robot22", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aeba69c56a3fca3b1f6542d66da578de50ac988d1f126280f8f801c48b69dec9
- Size of remote file:
- 344 MB
- SHA256:
- c5f53742b2bbbf46114f82ab2d5b594b5588c49a6fcf96e3cbeb67ad628863b5
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