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danielheinz
/
e5-base-sts-en-de

Feature Extraction
Transformers
Safetensors
German
xlm-roberta
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use danielheinz/e5-base-sts-en-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use danielheinz/e5-base-sts-en-de with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="danielheinz/e5-base-sts-en-de")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("danielheinz/e5-base-sts-en-de")
    model = AutoModel.from_pretrained("danielheinz/e5-base-sts-en-de")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
e5-base-sts-en-de
1.13 GB
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  • 1 contributor
History: 10 commits
danielheinz's picture
danielheinz
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  • .gitattributes
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  • README.md
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  • config.json
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  • config_sentence_transformers.json
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  • model.safetensors
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  • modules.json
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  • sentence_bert_config.json
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  • sentencepiece.bpe.model
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  • special_tokens_map.json
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  • tokenizer.json
    17.1 MB
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  • tokenizer_config.json
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