m2v-e5-small-european

A Model2Vec static embedding model distilled from intfloat/multilingual-e5-small (118M params), pruned to European languages only.

Pruned 36.5% of tokens (removed CJK, Arabic, Hebrew, Thai, Devanagari, Korean, Japanese, etc.).

	Before pruning	After pruning
Vocabulary	249,999 tokens	158,843 tokens
Embedding dim	256	256

Usage

from model2vec import StaticModel
model = StaticModel.from_pretrained("flipbitsnotburgers/m2v-e5-small-european")
embeddings = model.encode(["deodorant", "Duschgel", "shower gel"])

License

MIT (same as base model)