How to use ntphuc149/ViLegalEmbedder with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ntphuc149/ViLegalEmbedder") 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]
https://huggingface.co/ntphuc149/ViLegalEmbedder/resolve/main/README.md
hf download hf://ntphuc149/ViLegalEmbedder/README.md
curl -L -o README.md https://huggingface.co/ntphuc149/ViLegalEmbedder/resolve/main/README.md
license: apache-2.0 language: - vi base_model: - ntphuc149/ViLegalBERT-ext pipeline_tag: sentence-similarity library_name: sentence-transformers
