How to use premmm/nepali-embedder-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("premmm/nepali-embedder-v1") 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/premmm/nepali-embedder-v1/resolve/main/tokenizer.json
hf download hf://premmm/nepali-embedder-v1/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/premmm/nepali-embedder-v1/resolve/main/tokenizer.json
