Sentence Similarity
sentence-transformers
Safetensors
Vietnamese
xlm-roberta
feature-extraction
text-embeddings-inference
Instructions to use KhoaUIT/Halong-UIT-R2GQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use KhoaUIT/Halong-UIT-R2GQA with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("KhoaUIT/Halong-UIT-R2GQA") 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
Update README.md
Browse files
README.md
CHANGED
|
@@ -7,6 +7,8 @@ pipeline_tag: sentence-similarity
|
|
| 7 |
library_name: sentence-transformers
|
| 8 |
base_model:
|
| 9 |
- hiieu/halong_embedding
|
|
|
|
|
|
|
| 10 |
---
|
| 11 |
|
| 12 |
# SentenceTransformer
|
|
|
|
| 7 |
library_name: sentence-transformers
|
| 8 |
base_model:
|
| 9 |
- hiieu/halong_embedding
|
| 10 |
+
language:
|
| 11 |
+
- vi
|
| 12 |
---
|
| 13 |
|
| 14 |
# SentenceTransformer
|