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README.md
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---
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# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
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# Doc / guide: https://huggingface.co/docs/hub/model-cards
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{}
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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This model is an instruction-tuned version of ⭐️ StarCoder. The instruction dataset involved is [Self-instruct-starcoder](https://huggingface.co/datasets/codeparrot/self-instruct-starcoder)
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which was built by boostrapping on StarCoder's generations.
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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The model was fine-tuned with the following template
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```
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Question: <instruction>
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Answer: <output>
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```
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For example, your prompt can look like
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```python
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instruction = "Write a function to compute the GCD between two integers a and b"
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prompt = f"Question:{instruction}\n\nAnswer:"
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input_ids = tokenizer(prompt, return_tensors="pt")["input_ids"]
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completion = model.generate(input_ids)
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print(tokenizer.decode(completion[len(input_ids):])[0])
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```
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