Instructions to use facebook/regnet-y-320-seer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/regnet-y-320-seer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="facebook/regnet-y-320-seer")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("facebook/regnet-y-320-seer") model = AutoModel.from_pretrained("facebook/regnet-y-320-seer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Fix `widget:` meta
Browse files
README.md
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example_title: Tiger
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widget:
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
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example_title: Tiger
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- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
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