Sentence Similarity
sentence-transformers
Safetensors
Turkish
xlm-roberta
turkish
embeddings
retrieval
distillation
text-embeddings-inference
Instructions to use fredoline005/ajan-embed-q with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use fredoline005/ajan-embed-q with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("fredoline005/ajan-embed-q") 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
Link GitHub repo
Browse files
README.md
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@@ -19,6 +19,8 @@ A **Turkish-optimized sentence embedding model** for retrieval / RAG, distilled
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`BAAI/bge-m3` into a `multilingual-e5-base` student over 500k Turkish web sentences.
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768→1024-dim projected to match the teacher's space.
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> Part of [Ajanlar](https://huggingface.co/fredoline005) — open Turkish AI agent infra.
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> The retrieval engine under the agents, where multilingual models underperform on
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> agglutinative Turkish.
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`BAAI/bge-m3` into a `multilingual-e5-base` student over 500k Turkish web sentences.
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768→1024-dim projected to match the teacher's space.
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🔗 Code + recipe: **[github.com/AJANLAR-AI/ajanlar](https://github.com/AJANLAR-AI/ajanlar)**
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> Part of [Ajanlar](https://huggingface.co/fredoline005) — open Turkish AI agent infra.
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> The retrieval engine under the agents, where multilingual models underperform on
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> agglutinative Turkish.
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