How to use sooriyajs/imd-sbert-finetuned with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sooriyajs/imd-sbert-finetuned") sentences = [ "The WMO Virtual Workshop resulted in a significant reduction in global disease spread", "the Bay of Bengal (30th November - 5th December 2020) The cyclonic storm, ‘Burevi’ originated as a Low Pressure area in the equatorial easterly wave over South Andaman Sea and adjoining areas of Southeast Bay of Bengal & Equatorial Indian Ocean on 28th November 2020, which became a Well Marked Low pressure area over Southeast Bay of Bengal & adjoining areas of Annual Report 2020 89 South Andaman S", "15th February, 2023 and delivered a talk on Importance of Disease Data Analysis and use of disease data in understanding disease spread and prediction (special focus on Dengue and Chikungunya). Shri Raja Acharya, Met-B, participated in the WMO Virtual Workshop on, “Standardization of First- mile Data Collection from Automatic Observing stations and platforms\" held on 19-20th February, 2024 and Vir", "The Depression over the Arabian Sea crossed Somalia coast and the Depression over the Bay of Bengal crossed Tamil Nadu coast near Nagapattinam. The tracks of the systems are given in Fig. 12. One Cyclonic Storm (CS, Madi, 6th -13th December) formed over the Bay of Bengal during the month of December. The system crossed Tamil Nadu coast once, close to Vedaranyam and subsequently, it emerged into Pa" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
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