Instructions to use Sahajtomar/french_semantic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Sahajtomar/french_semantic with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Sahajtomar/french_semantic") 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
french_semantic model training
#1
by Noe64 - opened
model training
Hello,
I was wondering on which pre-trained model is this model based on ( Camembert, Flaubert...) ?
And also how did you fine tune this model , which labeled dataset did you use or create and for which tasks specifically?
Kind regards,