Sentence Similarity
sentence-transformers
Safetensors
Vietnamese
xlm-roberta
feature-extraction
text-embeddings-inference
Instructions to use GreenNode/GreenNode-Embedding-Large-VN-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-V1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("GreenNode/GreenNode-Embedding-Large-VN-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
File size: 129 Bytes
660def1 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1a989175dbc361e3bac83f16129de541264fcbbb66e4a440756ec5e4c6ed369d
size 5496
|