How to use Sigurdur/isl-sbert-l with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Sigurdur/isl-sbert-l") 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]
How to use Sigurdur/isl-sbert-l with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Sigurdur/isl-sbert-l") model = AutoModel.from_pretrained("Sigurdur/isl-sbert-l", device_map="auto")
https://huggingface.co/Sigurdur/isl-sbert-l/resolve/main/tokenizer.json
hf download hf://Sigurdur/isl-sbert-l/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Sigurdur/isl-sbert-l/resolve/main/tokenizer.json
