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---
language: en
tags:
- en
- english
- gpt2
- gpt3
- text-generation
- lm
- nlp
datasets:
- cnn_dailymail
widget:
- text: "Ever noticed how plane seats appear to be getting smaller and smaller? "
inference:
parameters:
max_length: 100
do_sample: True
temperature: 0.15
---
# GPT-3 small
Pretrained GPT-3 small, it's architecture intentionally resembles that of GPT-3, model was trained on CNN Daily Mail News dataset for text generation
# How to use the model
~~~~
from transformers import GPT2Tokenizer, GPTNeoForCausalLM
tokenizer = GPT2Tokenizer.from_pretrained('gpt3-small-finetune-cnndaily-news')
model = GPTNeoForCausalLM.from_pretrained('gpt3-small-finetune-cnndaily-news')
text = "Ever noticed how plane seats appear to be getting smaller and smaller? "
input_ids = tokenizer.encode(text, return_tensors='pt')
max_length = 150
sample_outputs = model.generate(input_ids, do_sample=True, max_length=max_length,temperature = 0.15)
for i, sample_output in enumerate(sample_outputs):
print(">> Generated text {}\n\n{}".format(i+1, tokenizer.decode(sample_output.tolist())))
print('\n---')
~~~~
## Author
`
Phan Minh Toan
` |