How to use ElijahDevPH/bge-fast-epoch-2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ElijahDevPH/bge-fast-epoch-2") sentences = [ "Represent this job requirement for retrieving matching candidate resume sections: Forklift or heavy equipment awareness", "Queue Management", "Employee Support", "Tool and Material Controller: Managed inventory tracking, recording, and stock levels for tools and materials supporting production. Coordinated with suppliers and purchasing" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/ElijahDevPH/bge-fast-epoch-2/resolve/main/tokenizer.json
hf download hf://ElijahDevPH/bge-fast-epoch-2/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/ElijahDevPH/bge-fast-epoch-2/resolve/main/tokenizer.json
