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GoktugD
/
DUSUNEN-Rota-270M-v2

Sentence Similarity
sentence-transformers
Safetensors
Turkish
gemma3_text
semantic-search
information-retrieval
turkish
hard-negatives
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use GoktugD/DUSUNEN-Rota-270M-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use GoktugD/DUSUNEN-Rota-270M-v2 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("GoktugD/DUSUNEN-Rota-270M-v2")
    
    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
DUSUNEN-Rota-270M-v2 / training
20.4 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
GoktugD's picture
GoktugD
Publish measured GöktuğTR release
a9e934f verified 4 days ago
  • evaluate_suite.py
    5.01 kB
    Publish measured GöktuğTR release 4 days ago
  • mine_hard_negatives.py
    6.8 kB
    Publish measured GöktuğTR release 4 days ago
  • train.py
    8.04 kB
    Publish measured GöktuğTR release 4 days ago
  • train.yaml
    540 Bytes
    Publish measured GöktuğTR release 4 days ago