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PereLluis13
/
encoder-e5-base-v2-el-wikipedia

Feature Extraction
Transformers
Safetensors
bert
custom_code
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use PereLluis13/encoder-e5-base-v2-el-wikipedia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use PereLluis13/encoder-e5-base-v2-el-wikipedia with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="PereLluis13/encoder-e5-base-v2-el-wikipedia", trust_remote_code=True)
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("PereLluis13/encoder-e5-base-v2-el-wikipedia", trust_remote_code=True)
    model = AutoModel.from_pretrained("PereLluis13/encoder-e5-base-v2-el-wikipedia", trust_remote_code=True)
  • Notebooks
  • Google Colab
  • Kaggle
encoder-e5-base-v2-el-wikipedia
439 MB
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  • 1 contributor
History: 3 commits
PereLluis13's picture
PereLluis13
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da85ded verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
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  • config.json
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  • hf.py
    3.73 kB
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  • model.safetensors
    438 MB
    xet
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  • special_tokens_map.json
    695 Bytes
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  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    1.3 kB
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  • vocab.txt
    232 kB
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