metadata
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.