README.md

---
title: README
emoji: 💻
colorFrom: blue
colorTo: yellow
sdk: static
pinned: false
---

## Description
A collection of pruned models on different pruning methods, sparsity types and ratios, calibration sets as well as calibration languages. All of the model names are in the format:
```
pruned-<original model name>-<pruning method>-<sparsity ratio>-<sparsity type>-<calibration dataset>-<calibration languages>-<seed>
```

## Usage
Load the model using the `transformers` library, which can be installed using `pip install transformers`:
```python
# main.py
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("multilingual-pruning/<model name>")
```

## Dependencies
- `transformers==4.42.3`
- `numpy==1.26.4`