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--- |
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license: apache-2.0 |
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datasets: |
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- tatsu-lab/alpaca |
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language: |
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- en |
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--- |
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# Model Card for Flan-Alpaca-GPT4-base-3k |
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This model was obtained by fine-tuning the `google/flan-t5-base` model on the tatsu-lab/alpaca dataset with the max_source_length option set to 3048. The instructions at the following repository were used for fine-tuning: https://github.com/declare-lab/flan-alpaca |
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The goal of this model was a learning exercise to determine if setting a higher max_source_length resulted in the model interpreting larger prompts during inference. |
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### Model Description |
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- **Language(s) (NLP)**: English |
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- **Finetuned from model:** google/flan-t5-base |
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## How to use |
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```python |
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from transformers import pipeline |
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prompt = "Write an email about an alpaca that likes flan" |
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model = pipeline(model="evolveon/flan-alpaca-gpt4-base-3k") |
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model(prompt, max_length=3048, do_sample=True) |
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# Dear AlpacaFriend, |
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# My name is Alpaca and I'm 10 years old. |
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# I'm excited to announce that I'm a big fan of flan! |
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# We like to eat it as a snack and I believe that it can help with our overall growth. |
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# I'd love to hear your feedback on this idea. |
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# Have a great day! |
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# Best, AL Paca |
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``` |
