README.md

metadata

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Model Card for Model ID

This model is an instruction-tuned version of ⭐️ StarCoder. The instruction dataset involved is Self-instruct-starcoder which was built by boostrapping on StarCoder's generations.

Uses

Direct Use

The model was fine-tuned with the following template

Question: <instruction>

Answer: <output>

For example, your prompt can look like

instruction = "Write a function to compute the GCD between two integers a and b"
prompt = f"Question:{instruction}\n\nAnswer:"
input_ids = tokenizer(prompt, return_tensors="pt")["input_ids"]
completion = model.generate(input_ids, max_length=100)
print(tokenizer.decode(completion[len(input_ids):])[0])