Spaces:
Running
Running
File size: 749 Bytes
b73027e eaf438b b531be1 eaf438b b4fb6f0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 |
---
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>
```
## 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`
|