Sentence Similarity
sentence-transformers
PyTorch
Transformers
Indonesian
bert
feature-extraction
text-embeddings-inference
Instructions to use firqaaa/indo-sentence-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use firqaaa/indo-sentence-bert-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("firqaaa/indo-sentence-bert-base") 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] - Transformers
How to use firqaaa/indo-sentence-bert-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("firqaaa/indo-sentence-bert-base") model = AutoModel.from_pretrained("firqaaa/indo-sentence-bert-base") - Inference
- Notebooks
- Google Colab
- Kaggle
Firqa Aqila Noor A commited on
Commit ·
cfb056d
1
Parent(s): a74a6a6
Upload pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:68adb27ea2b4fc672b6ae37113f36a3af0e7fc8d45e1fb1dddd75224f8e0b4e3
|
| 3 |
+
size 497834801
|