How to use benjamintli/modernbert-cosqa-hard-negatives with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("benjamintli/modernbert-cosqa-hard-negatives") sentences = [ "python string to microseconds", "def seconds_to_hms(seconds):\n \"\"\"\n Converts seconds float to 'hh:mm:ss.ssssss' format.\n \"\"\"\n hours = int(seconds / 3600.0)\n minutes = int((seconds / 60.0) % 60.0)\n secs = float(seconds % 60.0)\n return \"{0:02d}:{1:02d}:{2:02.6f}\".format(hours, minutes, secs)", "def align_file_position(f, size):\n \"\"\" Align the position in the file to the next block of specified size \"\"\"\n align = (size - 1) - (f.tell() % size)\n f.seek(align, 1)", "def timestamp_to_microseconds(timestamp):\n \"\"\"Convert a timestamp string into a microseconds value\n :param timestamp\n :return time in microseconds\n \"\"\"\n timestamp_str = datetime.datetime.strptime(timestamp, ISO_DATETIME_REGEX)\n epoch_time_secs = calendar.timegm(timestamp_str.timetuple())\n epoch_time_mus = epoch_time_secs * 1e6 + timestamp_str.microsecond\n return epoch_time_mus" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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