---
license: apache-2.0
datasets:
- wikipedia
language:
- ja
- en
---

# tiny-lm

This repository provides a tiny 16M parameters language model for debugging and testing purposes.

Trained on English and Japanese Wikipedia data.

## How to use

```
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline, set_seed
 
model = AutoModelForCausalLM.from_pretrained("sbintuitions/tiny_lm")
tokenizer = AutoTokenizer.from_pretrained("sbintuitions/tiny_lm", use_fast=False)
generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
 
print(generator("Hello", max_length=30, do_sample=True, top_k=1000))
```

## Model architecture
A 4-layer, 512-hidden-size transformer-based language model.

## Training
The model was trained on English Wikipedia and Japanese Wikipedia to optimize a traditional language modelling objective for 25B tokens.

## License
[Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0)