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