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:
- 83182779330bf02f2e8bedc27659fcb1bf597a905d3060f0bbdbeb663b289b43
- Size of remote file:
- 17.1 MB
- SHA256:
- b74659c780d49afad7a7b9799868f75cbd3014fb6c34956e85a793028d38094a
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