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