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telepix
/
PIXIE-Splade-v1.5

Feature Extraction
sentence-transformers
Safetensors
English
Korean
modernbert
sentence-similarity
sparse-encoder
sparse
splade
retrieval
multimodal
multi-modal
crossmodal
cross-modal
aerospace
telepix
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use telepix/PIXIE-Splade-v1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use telepix/PIXIE-Splade-v1.5 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("telepix/PIXIE-Splade-v1.5")
    
    sentences = [
        "The weather is lovely today.",
        "It's so sunny outside!",
        "He drove to the stadium."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • Notebooks
  • Google Colab
  • Kaggle
PIXIE-Splade-v1.5
599 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
BM-K's picture
BM-K
Upload 11 files
bb818c8 verified 19 days ago
  • 1_SpladePooling
    Upload 11 files 19 days ago
  • .gitattributes
    1.52 kB
    initial commit 19 days ago
  • LICENSE
    11.9 kB
    Create LICENSE 19 days ago
  • README.md
    11.9 kB
    Update README.md 19 days ago
  • added_tokens.json
    21 Bytes
    Upload 11 files 19 days ago
  • config.json
    1.2 kB
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  • config_sentence_transformers.json
    274 Bytes
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  • model.safetensors
    598 MB
    xet
    Upload 11 files 19 days ago
  • modules.json
    274 Bytes
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  • sentence_bert_config.json
    59 Bytes
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  • special_tokens_map.json
    969 Bytes
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  • tokenizer.json
    1.09 MB
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  • tokenizer_config.json
    6.95 kB
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  • vocab.txt
    290 kB
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