Deepseek Ai Deepseek Coder V2 Instruct A Hugging Face Space By Tdn M

Deepseek Ai Deepseek Coder V2 Instruct A Hugging Face Space By Tdn M Here, we provide some examples of how to use deepseek coder v2 lite model. if you want to utilize deepseek coder v2 in bf16 format for inference, 80gb*8 gpus are required. you can directly employ huggingface's transformers for model inference. import torch. print(tokenizer.decode(outputs[0], skip special tokens=true)) import torch. You can do this by running the following command: a demo is also available on the 🤗 hugging face space, and you can run the demo locally using app.py in the demo folder. (thanks to all the hf team for their support) here are some examples of how to use our model.

Deepseek Ai Deepseek Coder V2 Instruct A Hugging Face Space By Tdn M This document provides a detailed technical guide on integrating deepseek coder v2 models using the hugging face transformers library. for alternative integration methods, see sglang integration, vllm integration, or deepseek platform api. Accessing deepseek coder v2 on hugging face. the models are available on hugging face for easy integration into machine learning pipelines and development environments. developers can download and fine tune these models or deploy them using hugging face's inference api. how to use deepseek coder v2 from hugging face. Here, we provide some examples of how to use deepseek coder v2 lite model. if you want to utilize deepseek coder v2 in bf16 format for inference, 80gb*8 gpus are required. inference with huggingface's transformers. you can directly employ huggingface's transformers for model inference. code completion. code insertion. chat completion. We release the deepseek coder v2 with 16b and 236b parameters based on the deepseekmoe framework, which has actived parameters of only 2.4b and 21b , including base and instruct models, to the public.

Deepseek Ai Deepseek Coder V2 Lite Instruct Deepseek Coder V2 Language Here, we provide some examples of how to use deepseek coder v2 lite model. if you want to utilize deepseek coder v2 in bf16 format for inference, 80gb*8 gpus are required. inference with huggingface's transformers. you can directly employ huggingface's transformers for model inference. code completion. code insertion. chat completion. We release the deepseek coder v2 with 16b and 236b parameters based on the deepseekmoe framework, which has actived parameters of only 2.4b and 21b , including base and instruct models, to the public. Description: deepseek coder instruct is a model initialized from deepseek coder base and fine tuned on 2b tokens of instruction data. execute the following command to launch the model, remember to replace ${quantization} with your chosen quantization method from the options listed above:. Discover amazing ml apps made by the community. Here, we provide some examples of how to use deepseek coder v2 lite model. if you want to utilize deepseek coder v2 in bf16 format for inference, 80gb*8 gpus are required. you can directly employ huggingface's transformers for model inference. Accessing deepseek coder v2 on hugging face. the models are available on hugging face for easy integration into machine learning pipelines and development environments. developers can download and fine tune these models or deploy them using hugging face's inference api. how to use deepseek coder v2 from hugging face.