Sentence Similarity
sentence-transformers
Safetensors
English
feature-extraction
grant-matching
nonprofit
foundation-grants
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
V2 embedding model (federal + foundation) - config_sentence_transformers.json
Browse files
config_sentence_transformers.json
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{
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"prompts": {
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"query": "Instruct: Given a web search query, retrieve relevant passages that answer the query\nQuery:",
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"document": ""
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},
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"default_prompt_name": null,
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"similarity_fn_name": "cosine",
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"model_type": "SentenceTransformer",
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"__version__": {
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"sentence_transformers": "5.2.3",
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"transformers": "5.2.0",
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"pytorch": "2.10.0+cu128"
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}
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}
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