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
Browse files
README.md
CHANGED
|
@@ -10,7 +10,7 @@ tags:
|
|
| 10 |
- Embedding
|
| 11 |
---
|
| 12 |
|
| 13 |
-
|
| 14 |
## Model Card: Vietnamese_Embedding
|
| 15 |
|
| 16 |
Vietnamese_Embedding is an embedding model fine-tuned from the BGE-M3 model (https://huggingface.co/BAAI/bge-m3) to enhance retrieval capabilities for Vietnamese.
|
|
|
|
| 10 |
- Embedding
|
| 11 |
---
|
| 12 |
|
| 13 |
+
|
| 14 |
## Model Card: Vietnamese_Embedding
|
| 15 |
|
| 16 |
Vietnamese_Embedding is an embedding model fine-tuned from the BGE-M3 model (https://huggingface.co/BAAI/bge-m3) to enhance retrieval capabilities for Vietnamese.
|