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MatterWaveAI
/
grt-30m-embedding

Sentence Similarity
sentence-transformers
Safetensors
English
grt
geometric-rotation-transformer
feature-extraction
circular-pooling
rotational
qwen3
Model card Files Files and versions
xet
Community

Instructions to use MatterWaveAI/grt-30m-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use MatterWaveAI/grt-30m-embedding with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("MatterWaveAI/grt-30m-embedding")
    
    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
grt-30m-embedding
134 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 22 commits
davidhouseholter's picture
davidhouseholter
Update SHA256SUMS
74b6a80 verified about 10 hours ago
  • 1_Pooling
    Release MatterWaveAI/grt-30m-embedding about 19 hours ago
  • 2_Normalize
    Add 2_Normalize directory marker about 19 hours ago
  • .gitattributes
    1.63 kB
    Add GRT_Whitepaper.pdf about 11 hours ago
  • GRT_Whitepaper.pdf
    1.02 MB
    xet
    Update GRT_Whitepaper.pdf (clean page 1 author/header/footer + GRT-30M results) about 10 hours ago
  • README.md
    8.86 kB
    Update README: remove GNU Free Software Statement, keep Apache 2.0 and matterwave.ai citation about 10 hours ago
  • SHA256SUMS
    968 Bytes
    Update SHA256SUMS about 10 hours ago
  • config.json
    958 Bytes
    Release MatterWaveAI/grt-30m-embedding about 19 hours ago
  • config_sentence_transformers.json
    267 Bytes
    Release MatterWaveAI/grt-30m-embedding about 19 hours ago
  • eval_results.json
    462 Bytes
    Release PairAdam-trained GRT-30M-Embedding checkpoint with AdamW ablation note about 16 hours ago
  • model.safetensors
    122 MB
    xet
    Release PairAdam-trained GRT-30M-Embedding checkpoint with AdamW ablation note about 16 hours ago
  • modules.json
    370 Bytes
    Release MatterWaveAI/grt-30m-embedding about 19 hours ago
  • sentence_bert_config.json
    58 Bytes
    Release MatterWaveAI/grt-30m-embedding about 19 hours ago
  • tokenizer.json
    11.4 MB
    xet
    Release MatterWaveAI/grt-30m-embedding about 19 hours ago
  • tokenizer_config.json
    726 Bytes
    Release MatterWaveAI/grt-30m-embedding about 19 hours ago