Delete test.py

test.py

@@ -1,32 +0,0 @@
-from transformers import AutoTokenizer, AutoModelForSequenceClassification
-import torch
-
-MODEL_PATH = "model.safetensors"  # папка с model.safetensors + config.json
-
-tokenizer = AutoTokenizer.from_pretrained(MODEL_PATH)
-model = AutoModelForSequenceClassification.from_pretrained(MODEL_PATH)
-
-def predict(text: str):
-    inputs = tokenizer(
-        text,
-        return_tensors="pt",
-        truncation=True,
-        padding=True,
-        max_length=512
-    )
-
-    with torch.no_grad():
-        outputs = model(**inputs)
-
-    logits = outputs.logits
-    probs = torch.softmax(logits, dim=-1)
-
-    pred_id = torch.argmax(probs, dim=-1).item()
-    confidence = probs[0, pred_id].item()
-
-    return {
-        "label_id": pred_id,
-        "confidence": confidence
-    }
-
-print(predict("Салем калын калай?"))