--- language: - tr base_model: - openai/clip-vit-base-patch32 tags: - lora - peft --- This is a LoRA adapter OpenAI CLIP. The LoRA model is trained 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) ```