Michael Tschannen

mtschannen.bsky.social

03 March 2025 18:00

HF model collection for transformers: huggingface.co/collections/... HF model collection for OpenCLIP and timm: huggingface.co/collections/... And of course big_vision checkpoints: github.com/google-resea...

Michael Tschannen

mtschannen.bsky.social

03 March 2025 18:00

Paper: arxiv.org/abs/2502.14786 HF blog post from @arig23498.bsky.social et al. with a gentle intro to the training recipe and a demo: huggingface.co/blog/siglip2 Thread with results overview from Xiaohua (only on X, sorry - these are all in the paper): x.com/XiaohuaZhai/...

Michael Tschannen

mtschannen.bsky.social

03 March 2025 18:00

📢2⃣ Yesterday we released SigLIP 2! TL;DR: Improved high-level semantics, localization, dense features, and multilingual capabilities via drop-in replacement for v1. Bonus: Variants supporting native aspect and variable sequence length. A thread with interesting resources👇

Sung Kim

sungkim.bsky.social

20 February 2025 13:10

Build a Qwen 2.5 VL API endpoint with Hugging Face spaces and Docker! by @arig23498.bsky.social Build a proof-of-concept API, hosting Qwen2.5-VL-7B-Instruct on Hugging Face Spaces using Docker. huggingface.co/blog/ariG234...

Sergio Paniego

sergiopaniego.bsky.social

18 December 2024 09:22

I’m a big fan of smol models—compact, efficient, and perfect for inference/training on limited resources. Even better when they’re multimodal! 🤏✨ I explored fine-tuning SmolVLM, a multimodal smol model using TRL with SFT and DPO, creating 2 hands-on projects! 🔗Links below👇