how can i load the fastsam model in float16 ??

[dahwin]

**%cd /content/FastSAM
import torch
from PIL import Image
import matplotlib.pyplot as plt
from fastsam import FastSAM, FastSAMPrompt

Set up parameters

model_path = "/content/FastSAM.pt"
img_path = "/content/grid.png"
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")

Load model

model = FastSAM(model_path)

Load and process image

input_image = Image.open(img_path).convert("RGB")

Run inference

everything_results = model(
input_image,
device=device,
retina_masks=True,
imgsz=1024,
conf=0.4,
iou=0.9
)

Process results

prompt_process = FastSAMPrompt(input_image, everything_results, device=device)
ann = prompt_process.everything_prompt()

Plot results

result_image = prompt_process.plot(
annotations=ann,
withContours=True,
better_quality=True,
output_path='dahyun.png'
)**