Tom Aarsen

Or check out the models & datasets directly via this Collection: huggingface.co/collections/...

Ettin Rerankers - a cross-encoder Collection huggingface.co

Read the full blog post for the model links, results, recipe, and the ~150 line training script. Or just point your Agent at the URL: huggingface.co/blog/ettin-r...

Introducing the Ettin Reranker Family huggingface.co

ColBERT Model: huggingface.co/LiquidAI/LFM...

LiquidAI/LFM2.5-ColBERT-350M · Hugging Face huggingface.co

Embedding Model: huggingface.co/LiquidAI/LFM...

LiquidAI/LFM2.5-Embedding-350M · Hugging Face huggingface.co

Full release notes: github.com/huggingface/... pip install sentence-transformers==5.6.0

Release v5.6.0 - Fixes for Causal LM Rerankers, Hard-Negative Mining, and More · huggingface/sentence-transformers github.com

I'm very excited about this update, great job to Roman Solomatin who led this work, as well as Kenneth Enevoldsen and Isaac Chung. Now, go check out the updated leaderboard here: huggingface.co/spaces/mteb/...

MTEB Leaderboard - a Hugging Face Space by mteb huggingface.co

Check out the blogpost here: huggingface.co/blog/Samoed/... It's a very visual blogpost, it's a joy to read (and/or look) through.

MTEB Leaderboard: From a slow demo to feature-rich leaderboard huggingface.co

Check out the model directly here: huggingface.co/laion/voicec...

laion/voiceclap-large-v2 · Hugging Face huggingface.co

The full training data is also released as `cross-encoder/ettin-reranker-v1-data`: ~143M (query, document, teacher score) triples, kept as 39 named splits. Built from @LightOnIO 's pre-training data plus a re-scored subset of their fine-tuning data. huggingface.co/datasets/cro...

huggingface.co

💧 Liquid AI released 2 multilingual retrieval models, the first bidirectional members of the LFM family. Both 350M params, 11 languages (ar, de, en, es, fr, it, ja, ko, no, pt, sv): - LFM2.5-Embedding-350M (bi-encoder) - LFM2.5-ColBERT-350M (multi-vector, late interaction) 🧵