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ethicalabs
/
Echo-DSRN-v0.1.4-Embed-Intent-CLF

Text Classification
Transformers
Safetensors
multilingual
echo
feature-extraction
echo-dsrn
intent-classification
massive
recurrent-neural-network
sklearn-initialized
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use ethicalabs/Echo-DSRN-v0.1.4-Embed-Intent-CLF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ethicalabs/Echo-DSRN-v0.1.4-Embed-Intent-CLF with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ethicalabs/Echo-DSRN-v0.1.4-Embed-Intent-CLF", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ethicalabs/Echo-DSRN-v0.1.4-Embed-Intent-CLF", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Echo-DSRN-v0.1.4-Embed-Intent-CLF
397 MB
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  • 1 contributor
History: 31 commits
mrs83's picture
mrs83
Update README.md
37a843b verified 3 days ago
  • scripts
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  • .gitattributes
    1.52 kB
    initial commit 6 days ago
  • README.md
    39.4 kB
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  • chat_template.jinja
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  • config.json
    4.47 kB
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  • configuration_echo.py
    4.32 kB
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  • model.safetensors
    394 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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  • tokenizer.json
    3.62 MB
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  • tokenizer_config.json
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  • triton_scan.py
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