Instructions to use facebook/regnet-x-004 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/regnet-x-004 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/regnet-x-004") 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-004") model = AutoModelForImageClassification.from_pretrained("facebook/regnet-x-004", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 511de757cf8f0dcaf5ea28fd8253bc88d5d7f04f6fc86be081770fd0a8623f5f
- Size of remote file:
- 20.9 MB
- SHA256:
- 1bead7b90134c457322a1ad704f1aa6ddfc46df6bd80048c2adc80ebf0353247
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