Sentence Similarity
sentence-transformers
PyTorch
Safetensors
Indonesian
bert
feature-extraction
text-embeddings-inference
Instructions to use LazarusNLP/congen-indobert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use LazarusNLP/congen-indobert-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("LazarusNLP/congen-indobert-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] - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (ef17f84428336c3e1f547407a14246bc45e1fa2e) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>b239b45
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Moved Transformer Backbone Outwards
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Update 1_Pooling/config.json
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Update 1_Pooling/config.json
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Update README.md
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initial commit
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