Sentence Similarity
sentence-transformers
Safetensors
code
bert
feature-extraction
Generated from Trainer
dataset_size:1,183,174
loss:CosineSimilarityLoss
chemistry
Eval Results (legacy)
text-embeddings-inference
Instructions to use gbyuvd/ChemEmbed-v01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use gbyuvd/ChemEmbed-v01 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("gbyuvd/ChemEmbed-v01") sentences = [ "[O][=C][Branch2][Branch2][Ring1][O][C][C][Branch2][Ring1][=Branch1][O][C][=Branch1][C][=O][C][C][C][C][C][C][=C][C][C][C][C][C][C][C][C][C][C][O][P][=Branch1][C][=O][Branch1][C][O][O][C][C][Branch2][Ring1][Branch1][O][C][O][C][Branch1][Ring1][C][O][C][Branch1][C][O][C][Branch1][C][O][C][Ring1][#Branch2][O][C][Branch1][C][O][C][Branch1][C][O][C][Branch1][C][O][C][Ring2][Ring1][Branch1][O][C][O][C][Branch1][Ring1][C][O][C][Branch1][C][O][C][Branch1][C][O][C][Ring1][#Branch2][O][C][C][C][C][C][C][C][C][C][C][C][C][C][C]", "[O][=C][Branch2][Ring1][N][N][N][=C][Branch1][N][C][=C][C][=C][Branch1][C][Cl][C][=C][Ring1][#Branch1][C][=C][C][=C][Branch1][C][Cl][C][=C][Ring1][#Branch1][C][=C][C][=C][C][=C][C][=C][Ring1][=Branch1][C][=C][Ring1][#Branch2][O]", "[O][=C][Branch1][C][O][C][=C][Branch1][C][C][C][C][=Branch1][C][=O][O][C]", "[O][=C][Branch1][C][O][C][C][C][C][C][C][C][C][Branch1][C][O][C][Branch1][C][O][C][Branch1][C][O][C][#C][C][Branch1][C][O][C][C][C][C]" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle