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roneneldan/
TinyStories-1M

Name: TinyStories-1M
Availability: InStock

roneneldan/TinyStories

2305.07759

autotrain_compatible

endpoints_compatible

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Model trained on the TinyStories Dataset, see https://arxiv.org/abs/2305.07759

------ EXAMPLE USAGE ---

python

from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig
model = AutoModelForCausalLM.from_pretrained('roneneldan/TinyStories-1M')
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)