How to use Griffin88/my_new_model3 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Griffin88/my_new_model3") 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 Griffin88/my_new_model3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Griffin88/my_new_model3") model = AutoModel.from_pretrained("Griffin88/my_new_model3")
