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| import torch | |
| from transformers import AutoTokenizer, AutoModelForSequenceClassification | |
| DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu") | |
| tokenizer = None | |
| model = None | |
| def load_model(): | |
| global tokenizer, model | |
| model_id = "medoxz543/hate-speech" | |
| print(f"π Loading model from Hugging Face Hub: {model_id}") | |
| tokenizer = AutoTokenizer.from_pretrained(model_id) | |
| model = AutoModelForSequenceClassification.from_pretrained(model_id).to(DEVICE) | |
| model.eval() | |
| print("β Model ready") |