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KayaTechAI
/
Qwen3-0.6B-Fine-Tuned-Telecom-Technical-Documents-Retrieval-Embedding-With-Config

Sentence Similarity
sentence-transformers
Safetensors
qwen3
feature-extraction
dense
Generated from Trainer
dataset_size:127731
loss:MatryoshkaLoss
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use KayaTechAI/Qwen3-0.6B-Fine-Tuned-Telecom-Technical-Documents-Retrieval-Embedding-With-Config with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use KayaTechAI/Qwen3-0.6B-Fine-Tuned-Telecom-Technical-Documents-Retrieval-Embedding-With-Config with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("KayaTechAI/Qwen3-0.6B-Fine-Tuned-Telecom-Technical-Documents-Retrieval-Embedding-With-Config")
    
    sentences = [
        "How does the Session Description Protocol (SDP) typically facilitate media session setup?",
        "The Serving GPRS Support Node (SGSN) typically initiates a PDP context activation procedure towards the GGSN after receiving a request from the mobile device.",
        "SDP is used to describe the parameters for media streams, such as codecs, transport protocols, and IP addresses, enabling endpoints to agree on how to exchange media.",
        "They show the order of the bits produced by the speech encoder."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
Qwen3-0.6B-Fine-Tuned-Telecom-Technical-Documents-Retrieval-Embedding-With-Config / 1_Pooling
313 Bytes
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
KayaTechAI's picture
KayaTechAI
Add new SentenceTransformer model
c99a61d verified 4 months ago
  • config.json
    313 Bytes
    Add new SentenceTransformer model 4 months ago