levit-128S

Model overview

levit-128S is published by facebook as an image-classification model. The captured configuration identifies LevitForImageClassificationWithTeacher, and Safetensors metadata reports about 7.91M parameters. According to the model card, it was pre-trained on ImageNet-1k at 224x224 resolution.

Recorded capabilities

Use cases in the source record

• Image classification of general photographs into the documented 1,000 ImageNet classes.
• Transformers experiments that pair the LeViT feature extractor with the classification checkpoint.

Limitations and unknowns

• 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/levit-128S

Captured: Unknown. Processed: 2026-09-07T19:34:44.387825+00:00.

LeViT LeViT-128S model pre-trained on ImageNet-1k at resolution 224x224. It was introduced in the paper LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference by Graham et al. and first released in this repository . Disclaimer: The team releasing LeViT did not write a model card for this model so this model card has been written by the Hugging Face team. Usage Here is how to use this model to classify an image of the COCO 2017 dataset into one of the 1,000 ImageNet classes: from transformers import LevitFeatureExtractor, LevitForImageClassificationWithTeacher from PIL import Image import requests url = 'http://images…