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ethicalabs
/
Echo-DSRN-v0.1.3-Embed-Exp

Sentence Similarity
sentence-transformers
Safetensors
Transformers
English
echo
feature-extraction
echo-dsrn
linear-complexity
recurrent-hybrid
custom_code
Model card Files Files and versions
xet
Community

Instructions to use ethicalabs/Echo-DSRN-v0.1.3-Embed-Exp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use ethicalabs/Echo-DSRN-v0.1.3-Embed-Exp with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("ethicalabs/Echo-DSRN-v0.1.3-Embed-Exp", trust_remote_code=True)
    
    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]
  • Transformers

    How to use ethicalabs/Echo-DSRN-v0.1.3-Embed-Exp with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ethicalabs/Echo-DSRN-v0.1.3-Embed-Exp", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Echo-DSRN-v0.1.3-Embed-Exp
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  • 1 contributor
History: 7 commits
mrs83's picture
mrs83
Update README.md
5c9b1ad verified 26 days ago
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  • config.json
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  • config_sentence_transformers.json
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  • configuration_echo.py
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  • model.safetensors
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  • modeling_echo.py
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  • modeling_embedding.py
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  • modules.json
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  • sentence_bert_config.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • triton_scan.py
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