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spartan8806
/
echo-tuned-embedding-v2

Sentence Similarity
sentence-transformers
Safetensors
English
mpnet
feature-extraction
semantic-search
embeddings
fine-tuned
atles
echo
personal-knowledge
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use spartan8806/echo-tuned-embedding-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use spartan8806/echo-tuned-embedding-v2 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("spartan8806/echo-tuned-embedding-v2")
    
    sentences = [
        "That is a happy person",
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
echo-tuned-embedding-v2
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
spartan8806's picture
spartan8806
Upload echo-tuned-embedding-v2 model files
a67f227 verified 5 months ago
  • 1_Pooling
    Upload echo-tuned-embedding-v2 model files 5 months ago
  • eval
    Upload echo-tuned-embedding-v2 model files 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    5.44 kB
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  • config.json
    597 Bytes
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  • config_sentence_transformers.json
    296 Bytes
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  • model.safetensors
    438 MB
    xet
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  • modules.json
    368 Bytes
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  • sentence_bert_config.json
    60 Bytes
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  • special_tokens_map.json
    1.02 kB
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  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    1.69 kB
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  • training_metadata.json
    196 Bytes
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  • vocab.txt
    232 kB
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