53 lines
2.1 KiB
Markdown
53 lines
2.1 KiB
Markdown
---
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license: other
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license_name: deepseek
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license_link: https://github.com/deepseek-ai/DeepSeek-MoE/blob/main/LICENSE-MODEL
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---
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<p align="center">
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<img width="500px" alt="DeepSeek Chat" src="https://github.com/deepseek-ai/DeepSeek-LLM/blob/main/images/logo.png?raw=true">
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</p>
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<p align="center"><a href="https://www.deepseek.com/">[🏠Homepage]</a> | <a href="https://chat.deepseek.com/">[🤖 Chat with DeepSeek LLM]</a> | <a href="https://discord.gg/Tc7c45Zzu5">[Discord]</a> | <a href="https://github.com/deepseek-ai/DeepSeek-LLM/blob/main/images/qr.jpeg">[Wechat(微信)]</a> </p>
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<p align="center">
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<a href="https://arxiv.org/pdf/2401.06066.pdf"><b>Paper Link</b>👁️</a>
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</p>
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<hr>
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### 1. Introduction to DeepSeekMoE
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See the [Introduction](https://github.com/deepseek-ai/DeepSeek-MoE/blob/main) for more details.
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### 2. How to Use
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Here give some examples of how to use our model.
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#### Text Completion
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```python
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig
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model_name = "deepseek-ai/deepseek-moe-16b-base"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.bfloat16, device_map="auto")
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model.generation_config = GenerationConfig.from_pretrained(model_name)
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model.generation_config.pad_token_id = model.generation_config.eos_token_id
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text = "An attention function can be described as mapping a query and a set of key-value pairs to an output, where the query, keys, values, and output are all vectors. The output is"
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inputs = tokenizer(text, return_tensors="pt")
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outputs = model.generate(**inputs.to(model.device), max_new_tokens=100)
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result = tokenizer.decode(outputs[0], skip_special_tokens=True)
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print(result)
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```
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### 3. License
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This code repository is licensed under the MIT License. The use of DeepSeekMoE models is subject to the Model License. DeepSeekMoE supports commercial use.
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See the [LICENSE-MODEL](https://github.com/deepseek-ai/DeepSeek-MoE/blob/main/LICENSE-MODEL) for more details.
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### 4. Contact
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If you have any questions, please raise an issue or contact us at [service@deepseek.com](mailto:service@deepseek.com).
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