How to use jkswin/YGO_MiniLM with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("jkswin/YGO_MiniLM") 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 jkswin/YGO_MiniLM with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("jkswin/YGO_MiniLM") model = AutoModelForMaskedLM.from_pretrained("jkswin/YGO_MiniLM", device_map="auto")
