How to use Gem-Software/stella-v5.2-boost15 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Gem-Software/stella-v5.2-boost15", trust_remote_code=True) 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]
How to use Gem-Software/stella-v5.2-boost15 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Gem-Software/stella-v5.2-boost15", trust_remote_code=True, device_map="auto")
https://huggingface.co/Gem-Software/stella-v5.2-boost15/resolve/main/tokenizer.json
hf download hf://Gem-Software/stella-v5.2-boost15/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Gem-Software/stella-v5.2-boost15/resolve/main/tokenizer.json
