Instructions to use facebook/regnet-x-080 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/regnet-x-080 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/regnet-x-080") 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-080") model = AutoModelForImageClassification.from_pretrained("facebook/regnet-x-080", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
6818f17 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:24a9e85c5188f858f37cffb30c01af4d0599b392e158860f4adc2dd94dc58fd7
size 158829957
|