| from sentence_transformers import SentenceTransformer | |
| model = SentenceTransformer('symanto/sn-xlm-roberta-base-snli-mnli-anli-xnli') | |
| def getvec(text: str): | |
| sentences = [text,] | |
| embeddings = model.encode(sentences) | |
| return embeddings[0] |
| from sentence_transformers import SentenceTransformer | |
| model = SentenceTransformer('symanto/sn-xlm-roberta-base-snli-mnli-anli-xnli') | |
| def getvec(text: str): | |
| sentences = [text,] | |
| embeddings = model.encode(sentences) | |
| return embeddings[0] |