How to use goldenevil/agri-bot-model-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("goldenevil/agri-bot-model-v2") sentences = [ "How long should I let my potatoes 'cork over' in storage to prevent rot?", "If fruit sets on the vine but begins to show small, light brown spots on the blossom end of the fruit that turn leathery, the problem may be \"blossom end rot.\"", "Deterioration is rapid since young fruits dry out quickly in storage and are quite sensitive to chilling injury.", "Properly suberize potatoes by initial storage at high humidity with good ventilation (no wet surfaces) at 50-55°F for 10-14 days. [cite: 1873]" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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