metadata
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
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)