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telepix
/
PIXIE-Rune-v1.0

Feature Extraction
sentence-transformers
ONNX
Safetensors
xlm-roberta
sentence-similarity
dense-encoder
dense
retrieval
multimodal
multi-modal
crossmodal
cross-modal
aerospace
telepix
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use telepix/PIXIE-Rune-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use telepix/PIXIE-Rune-v1.0 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("telepix/PIXIE-Rune-v1.0")
    
    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-Rune-v1.0
Ctrl+K
Ctrl+K
  • 2 contributors
History: 8 commits
BM-K's picture
BM-K
jjooki's picture
jjooki
Add exported onnx model 'model.onnx' (#1)
091fe5a 2 months ago
  • 1_Pooling
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  • onnx
    Add exported onnx model 'model.onnx' (#1) 2 months ago
  • .gitattributes
    1.63 kB
    Add exported onnx model 'model.onnx' (#1) 2 months ago
  • LICENSE
    11.9 kB
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  • README.md
    9.24 kB
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  • config.json
    700 Bytes
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  • config_sentence_transformers.json
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  • model.safetensors
    2.27 GB
    xet
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  • modules.json
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  • sentence_bert_config.json
    59 Bytes
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  • special_tokens_map.json
    964 Bytes
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  • tokenizer.json
    17.1 MB
    xet
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  • tokenizer_config.json
    1.37 kB
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