Instructions to use OttoYu/Image-place with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OttoYu/Image-place with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="OttoYu/Image-place") 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("OttoYu/Image-place") model = AutoModelForImageClassification.from_pretrained("OttoYu/Image-place", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 94f0b4c596433aab09734ab0c7566eca027a95aa70ba8f3714cc0af567e3f0cf
- Size of remote file:
- 348 MB
- SHA256:
- f4e18e6dcef3c192811bf112ceef513769720e933bc3852a53eeff17977a947a
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