Instructions to use facebook/regnet-x-016 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/regnet-x-016 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/regnet-x-016") 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("facebook/regnet-x-016") model = AutoModelForImageClassification.from_pretrained("facebook/regnet-x-016") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 594dcdf8d79dfb54e96d76e0f3f56f2986a42bbf6f6624ef86a773c62b451d50
- Size of remote file:
- 37.1 MB
- SHA256:
- 7160a1621a2093ebb8b1dd37fce13ba056b16fc62548b7b111ac1fbc3120f88e
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