This is the Hugging Face PyTorch implementation of the
PVTv2
model.
Model Description
The Pyramid Vision Transformer v2 (PVTv2) is a powerful, lightweight hierarchical transformer backbone for vision tasks. PVTv2 infuses convolution operations into its transformer layers to infuse properties of CNNs that enable them to learn image data efficiently. This mix transformer architecture requires no added positional embeddings, and produces multi-scale feature maps which are known to be beneficial for dense and fine-grained prediction tasks.
pvt_v2_b3 huggingface.co is an AI model on huggingface.co that provides pvt_v2_b3's model effect (), which can be used instantly with this OpenGVLab pvt_v2_b3 model. huggingface.co supports a free trial of the pvt_v2_b3 model, and also provides paid use of the pvt_v2_b3. Support call pvt_v2_b3 model through api, including Node.js, Python, http.
pvt_v2_b3 huggingface.co is an online trial and call api platform, which integrates pvt_v2_b3's modeling effects, including api services, and provides a free online trial of pvt_v2_b3, you can try pvt_v2_b3 online for free by clicking the link below.
OpenGVLab pvt_v2_b3 online free url in huggingface.co:
pvt_v2_b3 is an open source model from GitHub that offers a free installation service, and any user can find pvt_v2_b3 on GitHub to install. At the same time, huggingface.co provides the effect of pvt_v2_b3 install, users can directly use pvt_v2_b3 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.