How to use anthonymeo/embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("anthonymeo/embedding") sentences = [ "how to calculate a service load", "what is the height of a lead in antenna", "types se cable", "what is the purpose of a circuit breaker" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/anthonymeo/embedding/resolve/main/tokenizer.json
hf download hf://anthonymeo/embedding/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/anthonymeo/embedding/resolve/main/tokenizer.json
