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
- Xet hash:
- 10e9f42de5db442b81b3704eee5ebe8b53a2e9485eb33a2241c64e1edf0e27b1
- Size of remote file:
- 11.4 MB
- SHA256:
- 36c265fe8f10d5b1f2487da8317fcf39076daf9204658d68e2e2e800a77d39bc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.