Sentence Similarity
sentence-transformers
ONNX
Vietnamese
English
e5
vietnamese
fp32
retrieval
document-search
Instructions to use welcomyou/e5-small-vn-archive-mix50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use welcomyou/e5-small-vn-archive-mix50 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("welcomyou/e5-small-vn-archive-mix50") 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:
- 4eb009a99bd37ab9c5a418dcfbae9cb6466228b561245c4ab307a249edb8a704
- Size of remote file:
- 470 MB
- SHA256:
- 4f203af8192028636d9eba2c6e60b6a224d64196492735dfb4d77f1ba7b172be
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