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
- Xet hash:
- eca73c985470109568e86a4a9fc4ab1873d6b76349706e81afd67f7baa140f9f
- Size of remote file:
- 5.5 kB
- SHA256:
- 1a989175dbc361e3bac83f16129de541264fcbbb66e4a440756ec5e4c6ed369d
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