Samuel Schmidt
Trying out torch.grad for speeding up
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from transformers import AutoProcessor, CLIPModel
import torch
class CLIPImageEncoder:
def __init__(self, device="cpu"):
self.device = device
self.model = CLIPModel.from_pretrained("openai/clip-vit-base-patch32")
self.processor = AutoProcessor.from_pretrained("openai/clip-vit-base-patch32")
def encode_image(self, image_pil):
with torch.no_grad():
input = self.processor(images=image_pil, return_tensors="pt")
image_features = self.model.get_image_features(**input)
return image_features.cpu().detach().numpy()[0]