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encode-ccnews.py

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+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