Sentence Similarity
sentence-transformers
PyTorch
Safetensors
French
camembert
Text
Sentence Similarity
Sentence-Embedding
camembert-base
Eval Results (legacy)
text-embeddings-inference
Instructions to use dangvantuan/sentence-camembert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use dangvantuan/sentence-camembert-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dangvantuan/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] - Inference
- Notebooks
- Google Colab
- Kaggle
Adding ONNX file of this model
#2
by yashvardhan7 - opened
Beep boop I am the ONNX export bot 🤖🏎️. On behalf of yashvardhan7, I would like to add to this repository the model converted to ONNX.
What is ONNX? It stands for "Open Neural Network Exchange", and is the most commonly used open standard for machine learning interoperability. You can find out more at onnx.ai!
The exported ONNX model can be then be consumed by various backends as TensorRT or TVM, or simply be used in a few lines with 🤗 Optimum through ONNX Runtime, check out how here!