regnet-y-040

Model overview

regnet-y-040 is published by facebook as an image-classification model. The captured configuration identifies RegNetForImageClassification with a regnet model type. According to the model card, it was trained on ImageNet-1k and introduced in the Designing Network Design Spaces paper.

Recorded capabilities

Use cases in the source record

• Raw image classification, with the card pointing to fine-tuned versions for specific tasks.
• Transformers experiments that pair AutoFeatureExtractor with the RegNet classification checkpoint.

Limitations and unknowns

• No parameter count was extracted for this record.
• No evaluation results were extracted from this record.
• Provider state is historical snapshot data, not independently refreshed current availability.
• The model card states it was written by the Hugging Face team, not the releasing team.

Source and provenance

Source: facebook/regnet-y-040

Captured: Unknown. Processed: 2026-09-07T19:34:44.424065+00:00.

RegNet RegNet model trained on imagenet-1k. It was introduced in the paper Designing Network Design Spaces and first released in this repository . Disclaimer: The team releasing RegNet did not write a model card for this model so this model card has been written by the Hugging Face team. Model description The authors design search spaces to perform Neural Architecture Search (NAS). They first start from a high dimensional search space and iteratively reduce the search space by empirically applying constraints based on the best-performing models sampled by the current search space. Intended uses & limitations You can use the raw mode…