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<hr>
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### 1. Introduction of Deepseek Coder
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### 1. Introduction of DeepSeek Coder
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Deepseek Coder comprises a series of code language models trained on both 87% code and 13% natural language in English and Chinese, with each model pre-trained on 2T tokens. We provide various sizes of the code model, ranging from 1B to 33B versions. Each model is pre-trained on project-level code corpus by employing a window size of 16K and a extra fill-in-the-blank task, to support project-level code completion and infilling. For coding capabilities, Deepseek Coder achieves state-of-the-art performance among open-source code models on multiple programming languages and various benchmarks.
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### 4. How to Use
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Here give some examples of how to use our model.
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Before proceeding, you'll need to install the necessary dependencies. You can do this by running the following command:
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```
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pip install -r requirements.txt
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```
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Here are some examples of how to use our model.
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#### 1)Code Completion
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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