Sentence Similarity
sentence-transformers
Vietnamese
English
deepx-embedding
feature-extraction
embedding
retrieval
vietnamese
legal
linear-attention
gated-deltanet
matryoshka
Eval Results (legacy)
Instructions to use dxtech-asia/deepx-embedding-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use dxtech-asia/deepx-embedding-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dxtech-asia/deepx-embedding-v1") 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
Upload token_embedding.pt
Browse files- token_embedding.pt +3 -0
token_embedding.pt
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version https://git-lfs.github.com/spec/v1
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