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ArkMaster123
/
grantpilot-embedding-v2

Sentence Similarity
sentence-transformers
Safetensors
English
feature-extraction
grant-matching
nonprofit
foundation-grants
Model card Files Files and versions
xet
Community

Instructions to use ArkMaster123/grantpilot-embedding-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use ArkMaster123/grantpilot-embedding-v2 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("ArkMaster123/grantpilot-embedding-v2")
    
    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
grantpilot-embedding-v2
30.1 kB
Ctrl+K
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  • 1 contributor
History: 3 commits
ArkMaster123's picture
ArkMaster123
V2 embedding model (federal + foundation) - README.md
fc0e54e verified 6 months ago
  • 1_Pooling
    V2 embedding model (federal + foundation) - 1_Pooling/config.json 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    28.3 kB
    V2 embedding model (federal + foundation) - README.md 6 months ago