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

Sentence Similarity
sentence-transformers
Safetensors
multilingual
echo
echo-dsrn
intent-classification
mteb
massive
recurrent-neural-network
rnn
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use ethicalabs/Echo-DSRN-v0.1.3-Embed-Intent 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-Intent with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("ethicalabs/Echo-DSRN-v0.1.3-Embed-Intent", 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
Echo-DSRN-v0.1.3-Embed-Intent
398 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 24 commits
mrs83's picture
mrs83
Update README.md
05e0460 verified 3 days ago
  • 1_Pooling
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  • scripts
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  • .gitattributes
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  • README.md
    38.5 kB
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  • chat_template.jinja
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  • config.json
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  • config_sentence_transformers.json
    286 Bytes
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  • configuration_echo.py
    4.32 kB
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  • model.safetensors
    393 MB
    xet
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  • modeling_echo.py
    69.1 kB
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  • modeling_embedding.py
    7.28 kB
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  • modules.json
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  • sentence_bert_config.json
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  • tokenizer.json
    3.62 MB
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  • tokenizer_config.json
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  • trainer_state.json
    1.27 MB
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  • triton_scan.py
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