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Shani123
/
multilingual-e5-large-instruct

Feature Extraction
Transformers
Safetensors
xlm-roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Shani123/multilingual-e5-large-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Shani123/multilingual-e5-large-instruct with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Shani123/multilingual-e5-large-instruct")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Shani123/multilingual-e5-large-instruct")
    model = AutoModel.from_pretrained("Shani123/multilingual-e5-large-instruct")
  • Notebooks
  • Google Colab
  • Kaggle
multilingual-e5-large-instruct
1.14 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
Dekel Cohen
new model
b672ee6 about 2 years ago
  • .gitattributes
    1.57 kB
    new model about 2 years ago
  • config.json
    725 Bytes
    new model about 2 years ago
  • model-00001-of-00002.safetensors
    849 MB
    xet
    new model about 2 years ago
  • model-00002-of-00002.safetensors
    271 MB
    xet
    new model about 2 years ago
  • model.safetensors.index.json
    33.4 kB
    new model about 2 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    new model about 2 years ago
  • special_tokens_map.json
    964 Bytes
    new model about 2 years ago
  • tokenizer.json
    17.1 MB
    xet
    new model about 2 years ago
  • tokenizer_config.json
    1.18 kB
    new model about 2 years ago