Sentence Similarity
sentence-transformers
Safetensors
Turkish
modernbert
feature-extraction
turkish
mteb
text-embeddings-inference
Instructions to use moganai/MoganBERT-Embed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use moganai/MoganBERT-Embed with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("moganai/MoganBERT-Embed") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -151,6 +151,6 @@ Retrieval göreli zayıf noktadır — retrieval öncelikli işler için [Mogan-
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If our open Turkish models and datasets are useful to you, you can support our work.<br/>
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Açık Türkçe modellerimiz ve veri setlerimiz işinize yarıyorsa çalışmalarımıza destek olabilirsiniz.
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<a href="https://buymeacoffee.com/moganai"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me a Coffee" height="
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If our open Turkish models and datasets are useful to you, you can support our work.<br/>
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Açık Türkçe modellerimiz ve veri setlerimiz işinize yarıyorsa çalışmalarımıza destek olabilirsiniz.
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<a href="https://buymeacoffee.com/moganai"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me a Coffee" height="42"/></a>
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