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| Before pruning | After pruning | |
|---|---|---|
| Vocabulary | 249,999 tokens | 158,843 tokens |
| Embedding dim | 256 | 256 |
1from model2vec import StaticModel
2model = StaticModel.from_pretrained("flipbitsnotburgers/m2v-e5-base-european")
3embeddings = model.encode(["deodorant", "Duschgel", "shower gel"])