Sentence Similarity
sentence-transformers
Safetensors
Arabic
bert
feature-extraction
arabic
triplet-loss
text-embeddings-inference
Instructions to use gimmeursocks/ara-e5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use gimmeursocks/ara-e5-small with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("gimmeursocks/ara-e5-small") 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
|
@@ -1,5 +1,18 @@
|
|
| 1 |
-
|
| 2 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 3 |
---
|
| 4 |
|
| 5 |
# Arabic NLI Triplet - Sentence Transformer Model
|
|
|
|
| 1 |
+
---
|
| 2 |
+
datasets:
|
| 3 |
+
- Omartificial-Intelligence-Space/Arabic-NLi-Triplet
|
| 4 |
+
language:
|
| 5 |
+
- ar
|
| 6 |
+
base_model: "intfloat/multilingual-e5-small"
|
| 7 |
+
library_name: sentence-transformers
|
| 8 |
+
pipeline_tag: sentence-similarity
|
| 9 |
+
tags:
|
| 10 |
+
- sentence-transformers
|
| 11 |
+
- sentence-similarity
|
| 12 |
+
- feature-extraction
|
| 13 |
+
- arabic
|
| 14 |
+
- triplet-loss
|
| 15 |
+
widget: []
|
| 16 |
---
|
| 17 |
|
| 18 |
# Arabic NLI Triplet - Sentence Transformer Model
|