Sentence Similarity
sentence-transformers
PyTorch
ONNX
Safetensors
OpenVINO
French
camembert
Text
Sentence Similarity
Sentence-Embedding
camembert-large
Eval Results (legacy)
text-embeddings-inference
Instructions to use Lajavaness/sentence-camembert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Lajavaness/sentence-camembert-large with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Lajavaness/sentence-camembert-large") 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
Add exported onnx model 'model.onnx'
#7
by bmaz - opened
Hello!
This pull request has been automatically generated from the Sentence Transformers backend-export Space.
Pull Request overview
- Add exported ONNX model
model.onnx.
Tip:
Consider testing this pull request before merging by loading the model from this PR with the revision argument:
from sentence_transformers import SentenceTransformer
# TODO: Fill in the PR number
pr_number = 2
model = SentenceTransformer(
"Lajavaness/sentence-camembert-large",
revision=f"refs/pr/{pr_number}",
backend="onnx",
)
# Verify that everything works as expected
embeddings = model.encode(["The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium."])
print(embeddings.shape)
similarities = model.similarity(embeddings, embeddings)
print(similarities)
bmaz changed pull request status to closed