Sentence Similarity
sentence-transformers
Safetensors
Transformers
Japanese
modernbert
feature-extraction
mirei
masked-lm
text-embedding
embeddings
retrieval
text-embeddings-inference
Instructions to use iamtatsuki05/Sentence-ModernBERT-JP-0.5B-PT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use iamtatsuki05/Sentence-ModernBERT-JP-0.5B-PT with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("iamtatsuki05/Sentence-ModernBERT-JP-0.5B-PT") 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] - Transformers
How to use iamtatsuki05/Sentence-ModernBERT-JP-0.5B-PT with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("iamtatsuki05/Sentence-ModernBERT-JP-0.5B-PT") model = AutoModel.from_pretrained("iamtatsuki05/Sentence-ModernBERT-JP-0.5B-PT", device_map="auto") - Notebooks
- Google Colab
- Kaggle