How to use kevinkrahn/shlm-grc-en with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("kevinkrahn/shlm-grc-en", 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 kevinkrahn/shlm-grc-en with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kevinkrahn/shlm-grc-en", trust_remote_code=True, dtype="auto")
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