TinyStories-Korean-800K
A tiny autoregressive language model trained from scratch.
- Architecture: Llama
- Vocab size: 4096
- Hidden size: 64
- Layers: 5
- Heads: 8 (MHA)
- Context length: up to 512 tokens
Note
This model was trained for experimental purposes and the generated output may not make any sense at all.
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained('northwind33/TinyStories-Korean-800K')
tokenizer = AutoTokenizer.from_pretrained('northwind33/TinyStories-Korean-800K')
input_text = ''
input_ids = tokenizer(input_text, return_tensors='pt').input_ids
output = model.generate(input_ids, max_length=512, do_sample=True, temperature=0.5)
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