---
language:
  - en
license: apache-2.0
pipeline_tag: feature-extraction
library_name: transformers
tags:
  - pytorch
  - toy-model
  - tiny-mlp
base_model: none
base_model_relation: finetune
---

# TinyModel

A small MLP (100 → 200 → 10) using ReLU and Softmax, designed as a simple example for publisher workflows.

## Intended Uses & Limitations

This model is purely educational and not trained on real-world data. 🧪 It is not suitable for production tasks or any mission-critical usage.

## Usage

```python
import torch
from tiny_model import TinyModel

model = TinyModel()
state = torch.load(
    "https://huggingface.co/tester-123456789/tiny-model/resolve/main/pytorch_model.bin",
    map_location="cpu",
    weights_only=True
)
model.load_state_dict(state)
model.eval()

x = torch.randn(1, 100)
y = model(x)
print(y)