{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/2"},{"label":"Libraries","url":"https://skillfed.io/packages/category/software-development-libraries/2"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering"},{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/3"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence"}],"enrichment":{"capability":"Timm provides a large collection of pretrained PyTorch image models\u2014vision transformers, CNNs, and hybrid architectures\u2014with utilities for loading weights, training, and inference.","skillfed_tags":["vision-models","pretrained-weights","model-zoo"],"use_cases":["Load a pretrained ViT or ConvNeXt model and fine-tune it on your image classification dataset.","Extract intermediate feature maps from a pretrained model for use in a downstream vision task.","Benchmark inference speed and accuracy across multiple model architectures on your hardware.","Train a custom image model from scratch using timm's training scripts and optimizer support.","Integrate a pretrained encoder (e.g., DINOv3 ViT) into a multimodal or self-supervised pipeline."],"what_it_does":"Timm is a model zoo and training framework for PyTorch image models. It bundles hundreds of pretrained architectures\u2014vision transformers (ViT, EVA, DINOv3), efficient CNNs (EfficientNet, ConvNeXt), and hybrid designs\u2014with their weights hosted on Hugging Face Hub. You use it to load a pretrained model in one line, fine-tune it on your data, or extract features for downstream tasks.\n\nThe package depends on torch, torchvision, pyyaml, huggingface_hub, and safetensors. It supports Python 3.8\u20133.12 and is actively maintained; recent releases add new model families (DINOv3, MobileCLIP-2, SigLIP-2), optimizer variants (Muon, NAdaMuon), and infrastructure improvements (meta-device initialization, pickle security hardening). Training and inference scripts are included.","worth_installing":"Yes. Timm is a mature, actively maintained library with no known vulnerabilities, permissive licensing, and low install friction. It is the de facto standard for accessing a diverse set of pretrained image models in PyTorch. Install it if you need pretrained models, model zoo access, or a training framework for vision tasks."},"id":"timm","links":{"html":"https://skillfed.io/packages/timm","md":"https://skillfed.io/packages/timm.md","pypi":"https://pypi.org/project/timm/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-11","license_spdx":null,"license_treatment":"permissive","name":"timm","python_support":"supports_current","summary":"PyTorch Image Models"},"popularity":{"monthly_downloads":15367053,"position":1189,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.0.28"}