| from datasets import load_dataset | |
| from sentence_transformers import SentenceTransformer | |
| import torch | |
| device = torch.device("cuda") | |
| embedder = SentenceTransformer('all-mpnet-base-v2') | |
| dataset = load_dataset("csv", data_dir="./raw", sep="|", split="train", column_names=['id', 'type', 'language', 'title']) | |
| dataset.save_to_disk("./datasets") | |
| embeddings = embedder.encode(dataset['title'], convert_to_tensor=True, device=device) | |
| torch.save(embeddings, "./embeddings/corpus.pt") |