Upload encode-yahoo-answers.py with huggingface_hub

encode-yahoo-answers.py

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+import h5py as h5
+import sys
+import json
+import pandas as pd
+import torch
+import time
+from sentence_transformers import SentenceTransformer
+
+#torch.set_num_threads(32)
+
+D = pd.read_parquet("yahoo-answers/question-answer-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("computing embeddings")
+st = time.time()
+embeddings = model.encode(D.question)
+
+print("finished in {}s".format(time.time() - st))
+with h5.File("yahoo-question-answer.h5", "a") as f:
+    f["question"] = embeddings
+    f.attrs["model"] = modelname
+
+
+st = time.time()
+embeddings = model.encode(D.answer)
+
+print("finished in {}s".format(time.time() - st))
+with h5.File("yahoo-question-answer.h5", "a") as f:
+    f["answer"] = embeddings