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]
https://huggingface.co/MatterWaveAI/grt-30m-embedding/resolve/main/1_Pooling/config.json
hf download hf://MatterWaveAI/grt-30m-embedding/1_Pooling/config.json
curl -L -o config.json https://huggingface.co/MatterWaveAI/grt-30m-embedding/resolve/main/1_Pooling/config.json
