A collection of pruned text embedding models for French. • 5 items • Updated
🇫🇷 french-me5-base
This model is a 58.8% smaller version of intfloat/multilingual-e5-base 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.
Usage
You can use this model with the Transformers library:
from transformers import AutoModel, AutoTokenizer
model_name = "antoinelouis/french-multilingual-e5-base"
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-multilingual-e5-base")
Credits: cc @antoinelouis
- Downloads last month
- 33
Safetensors
Model size
0.1B params
Tensor type
F32
·
Model tree for antoinelouis/french-me5-base
Base model
intfloat/multilingual-e5-base