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
training parent
#2
by JulienLopato - opened
Hello,
I was wondering 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,
Julien
Hey, based on the model size (1,35 GB pytorch_model.bin) I would guess its based on the "camembert/camembert-large" model (also 1,35 GB). But of course just guessing, would be nice to know!
Greetings Jo