Sentence Similarity
sentence-transformers
Safetensors
Turkish
gemma3_text
feature-extraction
semantic-search
information-retrieval
turkish
retrieval
distillation
werea
text-embeddings-inference
Instructions to use GoktugD/DUSUNEN-Rota-270M-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use GoktugD/DUSUNEN-Rota-270M-v3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("GoktugD/DUSUNEN-Rota-270M-v3") 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
- Xet hash:
- 75461df946f45c5896ffac207ef2feab91d00a5e4ba1b573980d0651695c69c2
- Size of remote file:
- 33.4 MB
- SHA256:
- 78efe0771862f88ea98dead7951425e455abfde1af0ca542bfd025b5f7361497
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