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Viacheslav Medvediev

slava-medvedev

medvedev

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updated a dataset 1 day ago

slava-medvedev/zelensky-speeches

liked a model about 1 month ago

lang-uk/ukr-paraphrase-multilingual-mpnet-base

updated a dataset about 1 month ago

slava-medvedev/zelensky-speeches

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slava-medvedev's activity

updated a dataset 1 day ago

slava-medvedev/zelensky-speeches

Viewer • Updated 1 day ago • 2.73k • 85 • 3

liked a model about 1 month ago

lang-uk/ukr-paraphrase-multilingual-mpnet-base

updated a dataset about 1 month ago

slava-medvedev/zelensky-speeches

Viewer • Updated 1 day ago • 2.73k • 85 • 3

updated a model 8 months ago

slava-medvedev/zelensky-gpt2-125m

Text Generation • Updated Apr 24 • 425

reacted to tomaarsen's post with 🔥 10 months ago

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🎉Today, the 5000th Sentence Transformer model was uploaded to Hugging Face! Embedding models are extremely versatile, so it's no wonder that they're still being trained.

Here's a few resources to get you started with them:
- All Sentence Transformer models: https://huggingface.co/models?library=sentence-transformers&sort=trending
- Sentence Transformer documentation: https://sbert.net/
- Massive Text Embedding Benchmark (MTEB) Leaderboard: mteb/leaderboard

The embedding space is extremely active right now, so if you're using an embedding model for your retrieval, semantic similarity, reranking, classification, clustering, etc., then be sure to keep an eye out on the trending Sentence Transformer models & new models on MTEB.

Also, I'm curious if you've ever used Sentence Transformers via a third party library, like a RAG framework or vector database. I'm quite interested in more integrations to bring everyone free, efficient & powerful embedding models!