Vit Base Patch8 224.augreg2 In21k Ft In1k
An open-weight Vision Transformer model for image classification, trained on ImageNet-21k and fine-tuned on ImageNet-1k. It can be loaded locally with timm or Transformers for inference and model development.
Overview
6 featuresIn the Other AI space, Vit Base Patch8 224.augreg2 In21k Ft In1k takes a focused approach. It focuses on running a pretrained Vision Transformer locally for image classification without training a model from scratch. Vit Base Patch8 224.augreg2 In21k Ft In1k is an open-source project aimed at machine learning developers and computer vision researchers. Vit Base Patch8 224.augreg2 In21k Ft In1k is open source under the Apache-2.0 license. Vit Base Patch8 224.augreg2 In21k Ft In1k is available on the web and the command line, and it can be self-hosted.
It is developed by PyTorch Image Models, and it first shipped in 2020. Development happens publicly on GitHub with 12.7k stars and 2 commits in the last 90 days. Among its 6 catalogued features are image classification, imageNet training, and pyTorch support.
Summary written by a language model from the project’s public pages.
- Image classification
- ImageNet training
- PyTorch support
- Transformers support
- Safetensors weights
- Local inference
Built with & integrations
- AWS
- x-amz-cf-id header · x-amz-cf-pop header · via header
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed17 Aug · 12:33 UTCtimm/vit_base_patch8_224.augreg2_in21k_ft_in1k verified against its public sourceSource: PulseGate · Open
Frequently asked questions about Vit Base Patch8 224.augreg2 In21k Ft In1k
- What is Vit Base Patch8 224.augreg2 In21k Ft In1k?
- Vit Base Patch8 224.augreg2 In21k Ft In1k focuses on running a pretrained Vision Transformer locally for image classification without training a model from scratch. It is catalogued under Other AI on PulseGate.
- Who is Vit Base Patch8 224.augreg2 In21k Ft In1k for?
- Vit Base Patch8 224.augreg2 In21k Ft In1k is an open-source project built for machine learning developers and computer vision researchers.
- Is Vit Base Patch8 224.augreg2 In21k Ft In1k free?
- Yes — Vit Base Patch8 224.augreg2 In21k Ft In1k is open source under the Apache-2.0 license and free to use.
- What platforms does Vit Base Patch8 224.augreg2 In21k Ft In1k run on?
- Vit Base Patch8 224.augreg2 In21k Ft In1k runs on the web and the command line. It can also be self-hosted.
- Is Vit Base Patch8 224.augreg2 In21k Ft In1k still active?
- The GitHub repository shows 2 commits in the last 90 days.
- What projects are similar to Vit Base Patch8 224.augreg2 In21k Ft In1k?
- Similar projects tracked by PulseGate include Vit Base Patch16 224.augreg2 In21k Ft In1k, Vit Base Patch16 224.augreg In21k, and Vit Small Patch16 224.augreg In21k Ft In1k.Vit Base Patch16 224.augreg2 In21k Ft In1kVit Base Patch16 224.augreg In21kVit Small Patch16 224.augreg In21k Ft In1k
- Who makes Vit Base Patch8 224.augreg2 In21k Ft In1k?
- Vit Base Patch8 224.augreg2 In21k Ft In1k is developed by PyTorch Image Models.
- When did Vit Base Patch8 224.augreg2 In21k Ft In1k launch?
- Vit Base Patch8 224.augreg2 In21k Ft In1k first shipped in 2020.
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