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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
1

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, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Echo-DSRN-v0.1.3-Embed-Exp
397 MB
Ctrl+K
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  • 1 contributor
History: 13 commits
mrs83's picture
mrs83
sync modules: block padding tokens in non-causal attention (no-op under vLLM)
5398959 verified 22 days ago
  • 1_Pooling
    Upload folder using huggingface_hub 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    5 kB
    Update README.md 3 months ago
  • chat_template.jinja
    2.43 kB
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  • config.json
    1.16 kB
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  • config_sentence_transformers.json
    285 Bytes
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  • configuration_echo.py
    4.38 kB
    Upload folder using huggingface_hub 22 days ago
  • model.safetensors
    393 MB
    xet
    Upload folder using huggingface_hub 3 months ago
  • modeling_echo.py
    79 kB
    sync modules: revert is_causal flag (hybrid KV cache needs causal grouping) 22 days ago
  • modeling_embedding.py
    9 kB
    sync modules: block padding tokens in non-causal attention (no-op under vLLM) 22 days ago
  • modules.json
    277 Bytes
    Upload folder using huggingface_hub 3 months ago
  • sentence_bert_config.json
    241 Bytes
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  • tokenizer.json
    3.62 MB
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  • tokenizer_config.json
    722 Bytes
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  • triton_scan.py
    16.5 kB
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  • utils.py
    1.91 kB
    Upload folder using huggingface_hub 22 days ago