| import h5py as h5 | |
| import json | |
| import pandas as pd | |
| import torch | |
| from sentence_transformers import SentenceTransformer | |
| torch.set_num_threads(32) | |
| modelname = 'sentence-transformers/all-MiniLM-L6-v2' | |
| model = SentenceTransformer(modelname) | |
| with open("wikipedia-text-20231101-en.txt") as f: | |
| sentences = [json.loads(line) for line in f.readlines()] | |
| embeddings = model.encode(sentences) | |
| with h5.File("wikipedia-embeddings-20231101-en.h5", "w") as f: | |
| f["emb"] = embeddings | |
| f.attrs["model"] = modelname | |
| #print(embeddings) | |