Sentence Similarity
sentence-transformers
PyTorch
Safetensors
French
camembert
Text
Sentence Similarity
Sentence-Embedding
camembert-base
Eval Results (legacy)
text-embeddings-inference
Instructions to use Lajavaness/sentence-camembert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Lajavaness/sentence-camembert-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Lajavaness/sentence-camembert-base") sentences = [ "C'est une personne heureuse", "C'est un chien heureux", "C'est une personne très heureuse", "Aujourd'hui est une journée ensoleillée" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Add sentence-transformers library name
Browse filesHello!
## Pull Request overview
* Add sentence-transformers library name
## Details
This allows this model to be freely available over Inference API and in the Widget like this:

- Tom Aarsen
README.md
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@@ -12,7 +12,7 @@ license: apache-2.0
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model-index:
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- name: sentence-camembert-base by Van Tuan DANG
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results:
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- task:
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name: Sentence-Embedding
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type: Text Similarity
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dataset:
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type: stsb_multi_mt
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args: fr
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metrics:
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---
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## Pre-trained sentence embedding models are the state-of-the-art of Sentence Embeddings for French.
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model-index:
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- name: sentence-camembert-base by Van Tuan DANG
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results:
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- task:
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name: Sentence-Embedding
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type: Text Similarity
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dataset:
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type: stsb_multi_mt
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args: fr
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metrics:
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- name: Test Pearson correlation coefficient
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type: Pearson_correlation_coefficient
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value: 86.88
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library_name: sentence-transformers
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---
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## Pre-trained sentence embedding models are the state-of-the-art of Sentence Embeddings for French.
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