Convnext Tiny.in12k Ft In1k is an image classification model hosted on Hugging Face. It belongs to the ConvNeXt family and carries the specific identifier convnext_tiny.in12k_ft_in1k, indicating pre-training on the ImageNet-12k dataset followed by fine-tuning on ImageNet-1k.
The model is provided by the timm library, also known as PyTorch Image Models. It is distributed with safetensors support and carries an Apache-2.0 license. Users can load it through the timm library by calling timm.create_model with the identifier "hf_hub:timm/convnext_tiny.in12k_ft_in1k" and pretrained set to True. It is also compatible with the Hugging Face Transformers library, where it can be instantiated via a pipeline for image-classification tasks or loaded directly with AutoModel.from_pretrained.
The model card references the paper arxiv:2201.03545. Example inference code demonstrates classification on an image URL such as a parrots.png sample from the documentation dataset. Notebooks for Google Colab and Kaggle are linked for further experimentation.
It is made available as an open model on the Hugging Face platform for download and integration into PyTorch-based workflows.
In the Other AI space, Convnext Tiny.in12k Ft In1k takes a focused approach. It focuses on providing efficient pre-trained vision models for image classification tasks. Convnext Tiny.in12k Ft In1k is an open-source project aimed at developers. The project is open source (Apache-2.0). Convnext Tiny.in12k Ft In1k is available on the web, and it can be self-hosted.
Behind Convnext Tiny.in12k Ft In1k is timm, and the product first shipped in 2019. The project is developed in the open on GitHub with 37k stars and 49 commits in the last 90 days. PulseGate's similarity index places it among 9 comparable tools. Among its 3 catalogued features are Image Classification, Pretrained Weights, and ConvNeXt Architecture.
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