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
Update README.md
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README.md
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'''
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array([[0.6621206 , 0.33066636],
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[0.18678051, 0.4875508 ]], dtype=float32)'''
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```
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'''
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array([[0.6621206 , 0.33066636],
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[0.18678051, 0.4875508 ]], dtype=float32)'''
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```
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### Evaluation:
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- Dataset: Entire training dataset of Legal Zalo 2021. Our model did not train on this dataset.
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