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README.md
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metrics:
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-rouge1: 0.3156
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---
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("
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model = AutoModelForCausalLM.from_pretrained("KookyGhost/GPT2-small-summarization")
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prompt = "Summarize this: Reddit user shares a long story about learning to code with free online resources and eventually landing their first developer job."
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summary = tokenizer.decode(outputs[0], skip_special_tokens=True)
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print(summary)
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```
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</details>
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metrics:
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-rouge1: 0.3156
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### Example usage
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<p>
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</p>
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("gpt2")
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model = AutoModelForCausalLM.from_pretrained("KookyGhost/GPT2-small-summarization")
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prompt = "Summarize this: Reddit user shares a long story about learning to code with free online resources and eventually landing their first developer job."
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summary = tokenizer.decode(outputs[0], skip_special_tokens=True)
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print(summary)
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