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---
pipeline_tag: sentence-similarity
language: de
license: apache-2.0
tags:
- passage-retrieval
- sentence-similarity
- pruned
library_name: sentence-transformers
base_model: Alibaba-NLP/gte-multilingual-base
base_model_relation: quantized
---
# 🇩🇪 german-english-gte-multilingual-base
This model is a 50.9% smaller version of [Alibaba-NLP/gte-multilingual-base](https://huggingface.co/Alibaba-NLP/gte-multilingual-base)
for the German language, created using the [mtem-pruner](https://huggingface.co/spaces/antoinelouis/mtem-pruner) space.
This pruned model should perform similarly to the original model for German 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 German were removed from the original multilingual model's vocabulary.
## Usage
You can use this model with the Transformers library:
```python
from transformers import AutoModel, AutoTokenizer
model_name = "ferrisS/german-english-gte-multilingual-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:
```python
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("ferrisS/german-english-gte-multilingual-base")
```
**Credits**: cc [@antoinelouis](https://huggingface.co/antoinelouis)