How to use akshitguptafintek24/exxon-semantic-search with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("akshitguptafintek24/exxon-semantic-search") sentences = [ "Freepoint Commodity services venture", "DUPLI OF 823707 BITUBULK SRL VESSEL", "Freepoint Commodities LLC", "AUGUSTA ENERGY DMCC" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/akshitguptafintek24/exxon-semantic-search/resolve/7379c1a5bcf0e1c3e94ae23bf4cdaddf937902cc/tokenizer.json
hf download hf://akshitguptafintek24/exxon-semantic-search@7379c1a5bcf0e1c3e94ae23bf4cdaddf937902cc/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/akshitguptafintek24/exxon-semantic-search/resolve/7379c1a5bcf0e1c3e94ae23bf4cdaddf937902cc/tokenizer.json
