TLDRocket
Sign in

Timm ❤️ Transformers: Use any timm model with transformers

Hugging Face

The Hugging Face transformers library now supports integration with timm (PyTorch Image Models), allowing users to leverage timm's 200K+ daily-downloaded computer vision models within the transformers ecosystem. An 8-bit quantized timm ViT model reduced from 346.27 MB to 88.20 MB (74.53% reduction) while maintaining nearly identical inference accuracy. Users can now fine-tune timm models with the Trainer API, apply LoRA for parameter-efficient training, use pipeline APIs for inference, and round-trip fine-tuned models back to timm's native format.

Related stories

The daily briefing

Every AI story that matters, in your inbox by 8am.

TLDRocket reads all relevant sources, removes duplicate coverage, and summarises the day in two minutes. Follow companies and topics for alerts, or get the briefing in Slack. Free, no spam, unsubscribe anytime.