Instructions to use facebook/regnet-x-064 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/regnet-x-064 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/regnet-x-064") 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-064") model = AutoModelForImageClassification.from_pretrained("facebook/regnet-x-064") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e4c9430e173962fd8d379bc69756f6031661543d310e6683da3ab3129fb5f7f
- Size of remote file:
- 105 MB
- SHA256:
- 77b087e58931ece78c1aa519c0dd7e8260784ec83abd0c366fcb8f5948e79e43
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