ner_model.py

"""Micro NER model: 384‑dim input → 3‑class output with hidden layers."""

import torch
import torch.nn as nn

class MicroNER(nn.Module):
    def __init__(self):
        super().__init__()
        self.net = nn.Sequential(
            nn.Linear(384, 128),
            nn.ReLU(),
            nn.Dropout(0.2),
            nn.Linear(128, 64),
            nn.ReLU(),
            nn.Dropout(0.2),
            nn.Linear(64, 3),
        )

    def forward(self, x):
        return self.net(x)