Instructions to use facebook/regnet-x-040 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/regnet-x-040 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/regnet-x-040") 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-040") model = AutoModelForImageClassification.from_pretrained("facebook/regnet-x-040", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce196b44206e0eef9a1295a97e1a08524dfaa5a6fa6dd8295e77a6a1f118c48a
- Size of remote file:
- 89.2 MB
- SHA256:
- 967eef6cac20fcdbeebcac3599c95be282e2fcd4490f8317ca1cc137ad878f8c
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