How to use malteos/most-embed-de with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("malteos/most-embed-de") sentences = [ "Das ist eine glückliche Person", "Das ist ein glücklicher Hund", "Das ist eine sehr glückliche Person", "Heute ist ein sonniger Tag" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
How to use malteos/most-embed-de with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("malteos/most-embed-de") model = AutoModel.from_pretrained("malteos/most-embed-de", device_map="auto")
icymi: cstr/most-embed-de-GGUF for use in CrispEmbed
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