CSATv2

154
1
license:apache-2.0
by
Hyunil
Code Model
OTHER
New
154 downloads
Early-stage
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Quick Summary

AI model with specialized capabilities.

Code Examples

Usagepythontransformers
import torch
from datasets import load_dataset
from transformers import AutoImageProcessor, AutoModelForImageClassification

# example data : cat image
dataset = load_dataset("huggingface/cats-image")
image = dataset["test"]["image"][0]

# 👉 CSATv2 
model_name = "Hyunil/CSATv2"

# Preprocessor + Model Load
processor = AutoImageProcessor.from_pretrained(model_name, trust_remote_code=True)
model = AutoModelForImageClassification.from_pretrained(model_name, trust_remote_code=True)

# Preprocessing
inputs = processor(image, return_tensors="pt")

# Inference
with torch.no_grad():
    logits = model(**inputs).logits

pred = logits.argmax(-1).item()
print("Predicted label:", model.config.id2label[pred])

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