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TinyStories-3M-fork
keenanpepper/TinyStories-3M-fork
TinyStories-3M-fork is a machine learning model from keenanpepper. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Model trained on the TinyStories Dataset, see https://arxiv.org/abs/2305.07759
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At a glance
- Model type
- gpt_neo
- Access
- Public
- Created
- Oct 15, 2024
- Updated
- Oct 15, 2024
- SHA
- 34c0f1b0
Model card
From the Hugging Face model README
Model trained on the TinyStories Dataset, see https://arxiv.org/abs/2305.07759
------ EXAMPLE USAGE ---
from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig
model = AutoModelForCausalLM.from_pretrained('roneneldan/TinyStories-3M')
tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-neo-125M")
prompt = "Once upon a time there was"
input_ids = tokenizer.encode(prompt, return_tensors="pt")
Generate completion
output = model.generate(input_ids, max_length = 1000, num_beams=1)
Decode the completion
output_text = tokenizer.decode(output[0], skip_special_tokens=True)
Print the generated text
print(output_text)
- Type
- gpt_neo
- Created
- Oct 15, 2024
- Updated
- Oct 15, 2024