Sentence Similarity
sentence-transformers
Safetensors
Vietnamese
xlm-roberta
Embedding
text-embeddings-inference
Instructions to use thanhtantran/Vietnamese_Embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use thanhtantran/Vietnamese_Embedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("thanhtantran/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] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 879c70025629aabb72a823fea347fc5a2cf5d7ca95cc8d8baebcb33c975af1e7
- Size of remote file:
- 2.27 GB
- SHA256:
- 1f2debafdf03659e8273022a3e902b94deec73cd20c2b7262ab7e21630163f6d
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