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yashvardhan7
/
multilingual-e5-large-instruct

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

Instructions to use yashvardhan7/multilingual-e5-large-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use yashvardhan7/multilingual-e5-large-instruct with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="yashvardhan7/multilingual-e5-large-instruct")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("yashvardhan7/multilingual-e5-large-instruct")
    model = AutoModel.from_pretrained("yashvardhan7/multilingual-e5-large-instruct")
  • Notebooks
  • Google Colab
  • Kaggle
multilingual-e5-large-instruct
2.82 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 49 commits
yashvardhan7's picture
yashvardhan7
Upload model.onnx
c16d844 verified about 2 years ago
  • onnx
    Upload model.onnx about 2 years ago
  • .gitattributes
    282 Bytes
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  • config.json
    763 Bytes
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  • ort_config .json
    1.04 kB
    Upload 2 files about 2 years ago
  • quantized_config.json
    702 Bytes
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  • sentencepiece.bpe.model
    5.07 MB
    xet
    Upload 8 files about 2 years ago
  • special_tokens_map.json
    964 Bytes
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  • tokenizer.json
    17.1 MB
    xet
    Upload 8 files about 2 years ago
  • tokenizer_config.json
    1.18 kB
    Upload 8 files about 2 years ago