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  license: apache-2.0
 
 
 
 
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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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+
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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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+
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+ ### Model Description
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+
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+ - **Language(s) (NLP)**: English
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+ - **Finetuned from model:** google/flan-t5-base
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+
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+ ## How to use
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+
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+ ```python
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+ from transformers import pipeline
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+
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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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+
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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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+ ```