How to use BCCard/MoAI-Embedding-0.6B with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("BCCard/MoAI-Embedding-0.6B") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3]
How to use BCCard/MoAI-Embedding-0.6B with PEFT:
Task type is invalid.
https://huggingface.co/BCCard/MoAI-Embedding-0.6B/resolve/main/merges.txt
hf download hf://BCCard/MoAI-Embedding-0.6B/merges.txt
curl -L -o merges.txt https://huggingface.co/BCCard/MoAI-Embedding-0.6B/resolve/main/merges.txt
