Instructions to use Invalid-Null/PeiYangMe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Invalid-Null/PeiYangMe with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Invalid-Null/PeiYangMe")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Invalid-Null/PeiYangMe")
model = AutoModelForCausalLM.from_pretrained("Invalid-Null/PeiYangMe", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Invalid-Null/PeiYangMe with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Invalid-Null/PeiYangMe"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Invalid-Null/PeiYangMe",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Invalid-Null/PeiYangMe

SGLang

How to use Invalid-Null/PeiYangMe with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "Invalid-Null/PeiYangMe" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Invalid-Null/PeiYangMe",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "Invalid-Null/PeiYangMe" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Invalid-Null/PeiYangMe",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Invalid-Null/PeiYangMe with Docker Model Runner:
```
docker model run hf.co/Invalid-Null/PeiYangMe
```

PeiYangMe / README.md

Invalid-Null

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---
license: apache-2.0
language:
- zh
- en
base_model:
- 01-ai/Yi-1.5-6B
new_version: Invalid-Null/PeiYangMe
pipeline_tag: text-generation
library_name: transformers
tags:
- chemistry
---
# 北洋微衍V0.9/PeiYang MicroEmergence-0.9

## 模型曾用名 / Model Name History

此模型在开发过程中经历了以下命名阶段：
This model has gone through the following naming stages during development:

* 早期阶段 / Initial Stage:  
  Invalid-Null/Non-Null

* 发展阶段 / Development Stage:  
  天津大学/北洋微衍 (Tianjin University/Peiyang MicroDerivation)

* 当前版本 / Current Release:  
  天津大学/北洋微衍 (Tianjin University/Peiyang MicroEmergence)

## 模型概述 / Model Overview

本模型专注于计算催化领域，特别是丙烷脱氢(PDH)过程。
This model focuses on computational catalysis, specifically designed for propane dehydrogenation (PDH) processes.

## 技术基础 / Technical Foundation

* 基础框架 / Base Framework:  
  基于ModelScope的ms-swift框架开发
  Developed using ModelScope's ms-swift framework

* 基础模型 / Base Model:  
  基于零一万物的Yi系列6B模型训练，包括yi-6B、yi-6B-chat、yi-1.5-6B、yi-1.5-6B-chat
  Fine-tuned on 01.AI's Yi-6B series model, including yi-6B, yi-6B-chat, yi-1.5-6B and yi-1.5-6B-chat

## 当前状态 / Current Status

详细的技术规格和性能指标将在相关研究论文发表后提供。
Detailed technical specifications and performance metrics will be available upon publication of our research paper.

## 致谢 / Acknowledgments 

特别感谢以下开源项目的贡献：
We would like to acknowledge the contributions of the following open-source projects:
* ModelScope的ms-swift框架 / ModelScope's ms-swift framework
* 零一万物的Yi系列模型 / 01.AI's Yi series models

	---
	license: apache-2.0
	language:
	- zh
	- en
	base_model:
	- 01-ai/Yi-1.5-6B
	new_version: Invalid-Null/PeiYangMe
	pipeline_tag: text-generation
	library_name: transformers
	tags:
	- chemistry
	---
	# 北洋微衍V0.9/PeiYang MicroEmergence-0.9

	## 模型曾用名 / Model Name History

	此模型在开发过程中经历了以下命名阶段：
	This model has gone through the following naming stages during development:

	* 早期阶段 / Initial Stage:
	Invalid-Null/Non-Null

	* 发展阶段 / Development Stage:
	天津大学/北洋微衍 (Tianjin University/Peiyang MicroDerivation)

	* 当前版本 / Current Release:
	天津大学/北洋微衍 (Tianjin University/Peiyang MicroEmergence)

	## 模型概述 / Model Overview

	本模型专注于计算催化领域，特别是丙烷脱氢(PDH)过程。
	This model focuses on computational catalysis, specifically designed for propane dehydrogenation (PDH) processes.

	## 技术基础 / Technical Foundation

	* 基础框架 / Base Framework:
	基于ModelScope的ms-swift框架开发
	Developed using ModelScope's ms-swift framework

	* 基础模型 / Base Model:
	基于零一万物的Yi系列6B模型训练，包括yi-6B、yi-6B-chat、yi-1.5-6B、yi-1.5-6B-chat
	Fine-tuned on 01.AI's Yi-6B series model, including yi-6B, yi-6B-chat, yi-1.5-6B and yi-1.5-6B-chat

	## 当前状态 / Current Status

	详细的技术规格和性能指标将在相关研究论文发表后提供。
	Detailed technical specifications and performance metrics will be available upon publication of our research paper.

	## 致谢 / Acknowledgments

	特别感谢以下开源项目的贡献：
	We would like to acknowledge the contributions of the following open-source projects:
	* ModelScope的ms-swift框架 / ModelScope's ms-swift framework
	* 零一万物的Yi系列模型 / 01.AI's Yi series models