Sentence Similarity
sentence-transformers
Safetensors
Transformers
ONNX
Vietnamese
roberta
feature-extraction
phobert
vietnamese
sentence-embedding
Instructions to use nrl-ai/vietnamese-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use nrl-ai/vietnamese-embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("nrl-ai/vietnamese-embedding") 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 nrl-ai/vietnamese-embedding with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("nrl-ai/vietnamese-embedding") model = AutoModel.from_pretrained("nrl-ai/vietnamese-embedding") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!