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| Metric | Value |
|---|---|
| Accuracy | 99.44% |
| Eval Loss | 0.0278 |
1from transformers import AutoImageProcessor, AutoModelForImageClassification
2import torch
3from PIL import Image
4
5model_id = "najicreator90856/is-it-nsfw_ai-moderator"
6processor = AutoImageProcessor.from_pretrained(model_id)
7model = AutoModelForImageClassification.from_pretrained(model_id)
8
9def predict(image_path):
10 image = Image.open(image_path).convert("RGB")
11 inputs = processor(images=image, return_tensors="pt")
12 with torch.no_grad():
13 logits = model(**inputs).logits
14
15 predicted_label = logits.argmax(-1).item()
16 return model.config.id2label[predicted_label]
17
18# print(predict("your_image.jpg"))| Asset | Network | Address |
|---|---|---|
| USDT | TON | UQDcC3o7u4LS07pr-cQI-Gxx3hPjXKrRrNQdGBj0WV7SADe3 |
| USDT | SOL | 77EtoHbBaoTowoQ7sR48k8QhuSHjWUnRjouFh1juCkiA |
| USDT | TRON (TRC20) | TLB4ZqS6HG1jkgyHNuQWtbhj4o4ypbn3p8 |
| USDT/ETH | ERC20 | 0x1e838c1f4c7580bb2f34703f9e9b0af1b1ae92fd |
| BTC | Bitcoin | 12AJT86N1V1D4g2Ee9PWBJG2z8DoHpjHbQ |
| ETH | Ethereum | 0x1e838c1f4c7580bb2f34703f9e9b0af1b1ae92fd |