---
pipeline_tag: sentence-similarity
language: it
license: mit
tags:
- passage-retrieval
- sentence-similarity
- pruned
library_name: sentence-transformers
base_model: BAAI/bge-m3
base_model_relation: quantized
---
# 🇮🇹 italian-bge-m3

This model is a 38.3% smaller version of [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) 
and comes with the Italian language only.

This pruned model should perform as the original model for Italian language tasks with a much smaller 
memory footprint.

![image/png](https://cdn-uploads.huggingface.co/production/uploads/65942f7911f68f12eae1848d/d7EMZ4WLb49Sls0ikVEfo.png)


## Usage

You can use this model with the Transformers library:

```python
from transformers import AutoModel, AutoTokenizer

model_name = "Kleva-ai/italian-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:

```python
from sentence_transformers import SentenceTransformer

model = SentenceTransformer("Kleva-ai/italian-bge-m3")
```
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**Credits**: cc [@antoinelouis]