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sergabrr
/
tourrf-e5-large-en-ru-v3-tuned

Sentence Similarity
Transformers
PyTorch
Safetensors
sentence-transformers
English
Russian
xlm-roberta
feature-extraction
mteb
retrieval
retriever
pruned
e5
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use sergabrr/tourrf-e5-large-en-ru-v3-tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sergabrr/tourrf-e5-large-en-ru-v3-tuned with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultimodalLM
    
    tokenizer = AutoTokenizer.from_pretrained("sergabrr/tourrf-e5-large-en-ru-v3-tuned")
    model = AutoModelForMultimodalLM.from_pretrained("sergabrr/tourrf-e5-large-en-ru-v3-tuned")
  • sentence-transformers

    How to use sergabrr/tourrf-e5-large-en-ru-v3-tuned with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("sergabrr/tourrf-e5-large-en-ru-v3-tuned")
    
    sentences = [
        "That is a happy person",
        "That is a happy dog",
        "That is a very happy person",
        "Today is a sunny day"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
tourrf-e5-large-en-ru-v3-tuned
2.93 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
sergabrr's picture
sergabrr
Upload 12 files
6875c03 verified about 1 year ago
  • .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
    368 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (4)

    • "collections.OrderedDict",
    • "torch.LongStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

    1.46 GB
    xet
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  • sentence_bert_config.json
    56 Bytes
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  • sentencepiece.bpe.model
    1.27 MB
    xet
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  • special_tokens_map.json
    294 Bytes
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  • tokenizer.json
    4.47 MB
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  • tokenizer_config.json
    491 Bytes
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