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README.md
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---
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license: mit
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---
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---
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license: mit
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license_link: https://huggingface.co/microsoft/phi-2/resolve/main/LICENSE
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language:
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- en
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pipeline_tag: text-generation
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tags:
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- nlp
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- code
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---
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## Model Summary
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Phi-mmlu-lora is a LORA model which fine-tuned on gsm8k dataset. The base model is [microsoft/phi-2](https://huggingface.co/microsoft/phi-2).
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## How to Use
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```python
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import torch
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from transformers import AutoTokenizer
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from peft import AutoPeftModelForCausalLM
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torch.set_default_device("cuda")
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model = AutoPeftModelForCausalLM.from_pretrained("liuchanghf/phi2-mmlu-lora")
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tokenizer = AutoTokenizer.from_pretrained("microsoft/phi-2", trust_remote_code=True)
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inputs = tokenizer('''def print_prime(n):
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"""
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Print all primes between 1 and n
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"""''', return_tensors="pt", return_attention_mask=False)
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outputs = model.generate(**inputs, max_length=200)
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text = tokenizer.batch_decode(outputs)[0]
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print(text)
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```
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