Sentence Similarity
sentence-transformers
PyTorch
Indonesian
bert
feature-extraction
text-embeddings-inference
Instructions to use denaya/indoSBERT-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use denaya/indoSBERT-large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("denaya/indoSBERT-large") 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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- 2_Dense/model.safetensors +3 -0
- model.safetensors +3 -0
2_Dense/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9fc0f9369d771251e8ba2cadb1f7e8a04e0ba4dfaa949a70418ea3a4e5d09d97
|
| 3 |
+
size 1049792
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b5591384936febf4f8f87890db236db37f9bc1aadda40112f2b241c03663877f
|
| 3 |
+
size 1340616616
|