| Copied from https://huggingface.co/susnato/phi-2 commit@9070ddb4fce238899ddbd2aca1faf6a0aeb6e444. |
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| This model can be loaded using HuggingFace `transformers` [commit@4ab5fb8941a38d172b3883c152c34ae2a0b83a68](https://github.com/huggingface/transformers/tree/4ab5fb8941a38d172b3883c152c34ae2a0b83a68). |
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| Below is the original introduction, which may be expired now. |
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| **DISCLAIMER**: I don't own the weights to this model, this is a property of Microsoft and taken from their official repository : [microsoft/phi-2](https://huggingface.co/microsoft/phi-2). |
| The sole purpose of this repository is to use this model through the `transformers` API or to load and use the model using the HuggingFace `transformers` library. |
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| # Usage |
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| First make sure you have the latest version of the `transformers` installed. |
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| ``` |
| pip install -U transformers |
| ``` |
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| Then use the transformers library to load the model from the library itself |
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| ```python |
| from transformers import AutoModelForCausalLM, AutoTokenizer |
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| model = AutoModelForCausalLM.from_pretrained("susnato/phi-2") |
| tokenizer = AutoTokenizer.from_pretrained("susnato/phi-2") |
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| inputs = tokenizer('''def print_prime(n): |
| """ |
| Print all primes between 1 and n |
| """''', return_tensors="pt", return_attention_mask=False) |
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| outputs = model.generate(**inputs, max_length=200) |
| text = tokenizer.batch_decode(outputs)[0] |
| print(text) |
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| ``` |
