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62d21b1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | import h5py as h5
import json
import pandas as pd
import torch
from sentence_transformers import SentenceTransformer
#torch.set_num_threads(32)
D = pd.read_parquet("ccnews/pair")
# title, article
modelname = 'sentence-transformers/all-MiniLM-L6-v2'
model = SentenceTransformer(modelname)
print(D.columns)
#print("embeddings title")
#embeddings = model.encode(D.title)
#
#with h5.File("ccnews.h5", "w") as f:
# f["title"] = embeddings
# f.attrs["model"] = modelname
print("embeddings article")
embeddings = model.encode(D.article)
with h5.File("ccnews.h5", "a") as f:
f["article"] = embeddings
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