Vit Base Patch16 224.augreg2 In21k Ft In1k
An open-weight Vision Transformer model for image classification, distributed through Hugging Face and usable with timm or Transformers. It is intended for developers and machine-learning practitioners running image inference locally or in their own applications.
Overview
6 featuresVit Base Patch16 224.augreg2 In21k Ft In1k sits in PulseGate's Other AI category. It focuses on running pretrained Vision Transformer image-classification inference without training a model from scratch. It is built as an open-source project for machine-learning developers. Vit Base Patch16 224.augreg2 In21k Ft In1k is open source under the Apache-2.0 license. It ships for the web and the command line, and it can be self-hosted.
Behind Vit Base Patch16 224.augreg2 In21k Ft In1k is 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. It operates in a well-populated space: PulseGate tracks 5 similar projects. Key capabilities include image classification, imageNet-1K fine-tuning, and imageNet-21K pretraining.
Summary written by a language model from the project’s public pages.
- Image classification
- ImageNet-1K fine-tuning
- ImageNet-21K pretraining
- PyTorch support
- Safetensors weights
- Transformers integration
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
- Indexed18 Aug · 11:38 UTCtimm/vit_base_patch16_224.augreg2_in21k_ft_in1k verified against its public sourceSource: PulseGate · Open
Frequently asked questions about Vit Base Patch16 224.augreg2 In21k Ft In1k
- What does Vit Base Patch16 224.augreg2 In21k Ft In1k do?
- Vit Base Patch16 224.augreg2 In21k Ft In1k focuses on running pretrained Vision Transformer image-classification inference without training a model from scratch. It is catalogued under Other AI on PulseGate.
- Who should use Vit Base Patch16 224.augreg2 In21k Ft In1k?
- Vit Base Patch16 224.augreg2 In21k Ft In1k is an open-source project built for machine-learning developers.
- Does Vit Base Patch16 224.augreg2 In21k Ft In1k have a free plan?
- Yes — Vit Base Patch16 224.augreg2 In21k Ft In1k is open source under the Apache-2.0 license and free to use.
- What platforms does Vit Base Patch16 224.augreg2 In21k Ft In1k run on?
- Vit Base Patch16 224.augreg2 In21k Ft In1k runs on the web and the command line. It can also be self-hosted.
- Is Vit Base Patch16 224.augreg2 In21k Ft In1k still maintained?
- The GitHub repository shows 2 commits in the last 90 days.
- What projects are similar to Vit Base Patch16 224.augreg2 In21k Ft In1k?
- Similar projects tracked by PulseGate include Vit Base Patch8 224.augreg2 In21k Ft In1k, Vit Base Patch16 224.augreg In21k, and Vit Small Patch16 224.augreg In21k Ft In1k.Vit Base Patch8 224.augreg2 In21k Ft In1kVit Base Patch16 224.augreg In21kVit Small Patch16 224.augreg In21k Ft In1k
- Who develops Vit Base Patch16 224.augreg2 In21k Ft In1k?
- Vit Base Patch16 224.augreg2 In21k Ft In1k is developed by PyTorch Image Models.
- When did Vit Base Patch16 224.augreg2 In21k Ft In1k launch?
- Vit Base Patch16 224.augreg2 In21k Ft In1k first shipped in 2020.
Similar projects
Closest matches by what these projects do
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