Sentence Similarity
sentence-transformers
Safetensors
Vietnamese
English
xlm-roberta
feature-extraction
text-embeddings-inference
Instructions to use GreenNode/GreenNode-Embedding-Large-VN-Mixed-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use GreenNode/GreenNode-Embedding-Large-VN-Mixed-V1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("GreenNode/GreenNode-Embedding-Large-VN-Mixed-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] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 139136db2b5c557005e3c8018093a2bce5be5db0027e303954f9f192b6ea8bfd
- Size of remote file:
- 17.1 MB
- SHA256:
- 249df0778f236f6ece390de0de746838ef25b9d6954b68c2ee71249e0a9d8fd4
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