🇫🇷 Pruned text embedding models
Collection
A collection of pruned text embedding models for French.
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5 items
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Updated
This model is a 38.4% smaller version of BAAI/bge-m3 for the French language, created using the mtem-pruner space.
This pruned model should perform similarly to the original model for French language tasks with a much smaller memory footprint. However, it may not perform well for other languages present in the original multilingual model as tokens not commonly used in French were removed from the original multilingual model's vocabulary.
You can use this model with the Transformers library:
from transformers import AutoModel, AutoTokenizer
model_name = "antoinelouis/french-bge-m3"
model = AutoModel.from_pretrained(model_name, trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True, use_fast=True)
Or with the sentence-transformers library:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("antoinelouis/french-bge-m3")
Credits: cc @antoinelouis
Base model
BAAI/bge-m3