This is a sentence transformer model based on all-mpnet-base-v2.
Usage
python
1from sentence_transformers import SentenceTransformer
2sentences =["This is an example sentence","Each sentence is encoded"]34model = SentenceTransformer('FAE')5embeddings = model.encode(sentences)6print(embeddings)
