This is a timm model card for BEiT v2 base (patch16, 224) fine-tuned on ImageNet-22k and ImageNet-1k. It provides pretrained weights and code to perform image classification using the PyTorch timm library or Hugging Face Transformers. The model is designed for researchers and engineers building computer vision applications.
Beitv2 Base Patch16 224.in1k Ft In22k sits in PulseGate's Other AI category. It focuses on obtaining ready-to-use pretrained vision transformer weights for image classification tasks. Beitv2 Base Patch16 224.in1k Ft In22k is an open-source project aimed at computer vision developers. The project is open source (MIT). The product ships for the web and API.
timm builds and maintains Beitv2 Base Patch16 224.in1k Ft In22k, and the product first shipped in 2019. The project is developed in the open on GitHub with 22.2k stars. Among its 3 catalogued features are Image Classification, Vision Transformer, and Pretrained Weights.
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timm/beitv2_base_patch16_224.in1k_ft_in22k verified by the PulseGate indexer
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