---
language:
- tr
base_model:
- openai/clip-vit-base-patch32
tags:
- lora
- peft
---

To build this finetuned CLIP using LORA on Turkish language. 

You can get more information (and code 🎉) on how to train or use the model on my [github].

[github]: https://github.com/kesimeg/LORA-turkish-clip

# How to use the model?

You can use the model like shown in below:

```Python
from PIL import Image
from transformers import CLIPProcessor, CLIPModel

model = CLIPModel.from_pretrained("openai/clip-vit-base-patch32")
model.load_adapter("kesimeg/lora-turkish-clip")
model.eval()

processor = CLIPProcessor.from_pretrained("openai/clip-vit-base-patch32")


img = Image.open("dog.png") # A dog image
inputs = processor(text=["Çimenler içinde bir köpek.","Bir köpek.","Çimenler içinde bir kuş."], images=img, return_tensors="pt", padding=True)
outputs = model(**inputs)
logits_per_image = outputs.logits_per_image
probs = logits_per_image.softmax(dim=1)
print(probs)

```