Feature Extraction
sentence-transformers
Safetensors
English
bert
sentence-similarity
lexsembridge
text-embeddings-inference
Instructions to use Jasaxion/LexSemBridge_CLR_snowflake with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Jasaxion/LexSemBridge_CLR_snowflake with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Jasaxion/LexSemBridge_CLR_snowflake") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
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Improve model card for LexSemBridge: Add paper/code links, update pipeline tag, license, and datasets (#1)
Verified signature- Improve model card for LexSemBridge: Add paper/code links, update pipeline tag, license, and datasets (7e6e12a9d0c9200ddac962b369e09ac5262badd3) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>11dfb47
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