Sentence Similarity
sentence-transformers
Safetensors
mpnet
feature-extraction
Generated from Trainer
dataset_size:50
loss:CosineSimilarityLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use akshitguptafintek24/exxon-semantic-search with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
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] - Notebooks
- Google Colab
- Kaggle
Ctrl+K