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lucaswychan
/
Qwen2.5-Math-1.5B-Reasoning-Embedding

Sentence Similarity
sentence-transformers
Safetensors
multilingual
qwen2
reasoning-embedding
fine-tuned
embeddings
custom_code
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use lucaswychan/Qwen2.5-Math-1.5B-Reasoning-Embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use lucaswychan/Qwen2.5-Math-1.5B-Reasoning-Embedding with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("lucaswychan/Qwen2.5-Math-1.5B-Reasoning-Embedding", trust_remote_code=True)
    
    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
Qwen2.5-Math-1.5B-Reasoning-Embedding
3.1 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 22 commits
lucaswychan's picture
lucaswychan
Upload README.md with huggingface_hub
bb02acb verified 4 months ago
  • 1_Pooling
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  • .gitattributes
    1.57 kB
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  • README.md
    7.45 kB
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  • added_tokens.json
    605 Bytes
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  • chat_template.jinja
    2.51 kB
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  • config.json
    1.53 kB
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  • config_sentence_transformers.json
    216 Bytes
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  • merges.txt
    1.67 MB
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  • model.safetensors
    3.09 GB
    xet
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  • modeling_qwen2.py
    23 kB
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  • modules.json
    338 Bytes
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  • special_tokens_map.json
    616 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    4.72 kB
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  • vocab.json
    2.78 MB
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