Deepseek Coder Huggingface

DeepSeek-Coder-V2 on HuggingFace. DeepSeek-Coder-V2 is an open-source Mixture-of-Experts MoE code language model developed by DeepSeek AI, designed to revolutionize AI-assisted programming. Available on Hugging Face, this model provides code generation, completion, and infilling capabilities across a vast array of programming languages

DeepSeek-Coder-V2 is a MoE code language model that outperforms closed-source models in code-specific tasks. It supports 338 programming languages, 128K context length, and can be used with Hugging Face Transformers or API Platform.

How to use DeepSeek coder for code generation. Implementing DeepSeek Coder into your development workflow is surprisingly straightforward. Developers can access the model through Hugging Face's platform, which provides a user-friendly interface for model interaction. To get started, you'll need to have the Hugging Face transformers library installed and a basic understanding of Python.

In the Model dropdown select DeepSeek-Coder-V2-Lite-Instruct-Q5_K_M.gguf Click the Load button to initialize the model. Once loaded, DeepSeek Coder V2 Lite is ready for use, and you can start

DeepSeek Coder is a series of code language models trained on 2T tokens in English and Chinese. It supports code completion, code insertion, and repository level code completion tasks.

DeepSeek Coder is a series of code language models trained from scratch on 2T tokens in English and Chinese. It supports various programming languages and coding tasks, and outperforms existing open-source code models on multiple benchmarks.

DeepSeek-Coder-V2 is a Mixture-of-Experts code language model that outperforms closed-source models such as GPT4-Turbo in code-specific tasks. It supports 338 programming languages and can be downloaded from HuggingFace with different parameters and context lengths.

DeepSeek-Coder-V2-Base huggingface.co is an online trial and call api platform, which integrates DeepSeek-Coder-V2-Base's modeling effects, including api services, and provides a free online trial of DeepSeek-Coder-V2-Base, you can try DeepSeek-Coder-V2-Base online for free by clicking the link below.

The following diagram illustrates how DeepSeek-Coder-V2 integrates with Hugging Face Transformers Sources README.md 192-204. Basic Setup. Loading the model and tokenizer requires the following code pattern Important parameters trust_remote_codeTrue Required as model implementation contains custom code

DeepSeek-R1-0528 Release. DeepSeek-R1-0528 is here! Improved benchmark performance. Enhanced front-end capabilities. Reduced hallucinations