Sentence Similarity
sentence-transformers
ONNX
Safetensors
Vietnamese
xlm-roberta
Embedding
text-embeddings-inference
Instructions to use AITeamVN/Vietnamese_Embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use AITeamVN/Vietnamese_Embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("AITeamVN/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] - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ba740713eac7ba2257cd272e5f213ab1a90026e672a611140f04622cb56ae2e7
- Size of remote file:
- 2.27 GB
- SHA256:
- f4de2a8bc780de9b4f6dda97e2f403ea93a40b29db05ebee065a92ccf69884bf
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