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ytu-ce-cosmos/modernbert-tr-embed-encoderfile
modernbert-tr-embed-encoderfile is a sentence similarity model from ytu-ce-cosmos. Use it when you need a score for how close two texts are. It is set up for encoderfile. The card lists the license as apache-2.0.
<p align="center" <img src="assets/logo.webp" width="20%" alt="ModernBERT-TR Embed" / </p <h1 align="center"ModernBERT-TR Embed · Encoderfile</h1
Downloads · 30 days
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41% of all-time downloads
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.encoderfile1.9 GB · 100%
From the Hugging Face model README
Prebuilt encoderfile binaries of ytu-ce-cosmos/modernbert-tr-embed.
For model details, results, and training, see the main repo.
chmod +x modernbert-tr-embed.x86_64-unknown-linux-gnu.encoderfile
BIN=./modernbert-tr-embed.x86_64-unknown-linux-gnu.encoderfile
# one-shot inference -> JSON {"results": [{"embedding": [...]}], ...}
$BIN infer "Bugün hava çok güzel."
# or run a server (HTTP :8080, gRPC :50051)
$BIN serve
For retrieval, prepend the query instruct prompt to queries; passages stay raw. See the main repo for the exact string.
apache-2.0