Instructions to use eshmoideas/DSGENERAL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eshmoideas/DSGENERAL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="eshmoideas/DSGENERAL")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("eshmoideas/DSGENERAL") model = AutoModelForCausalLM.from_pretrained("eshmoideas/DSGENERAL") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use eshmoideas/DSGENERAL with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "eshmoideas/DSGENERAL" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "eshmoideas/DSGENERAL", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/eshmoideas/DSGENERAL
- SGLang
How to use eshmoideas/DSGENERAL 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 "eshmoideas/DSGENERAL" \ --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": "eshmoideas/DSGENERAL", "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 "eshmoideas/DSGENERAL" \ --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": "eshmoideas/DSGENERAL", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use eshmoideas/DSGENERAL with Docker Model Runner:
docker model run hf.co/eshmoideas/DSGENERAL
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{
"role": "system",
"content": "该助手为DeepSeek,由深度求索公司创造。"
},
{
"role": "latest_reminder",
"content": "2026-02-21,星期六,广州,App,中文"
},
{
"role": "developer",
"content": "小柴胡冲剂和布洛芬能一起吃吗?\n\nCITATION FORMAT: 【{cursor_id}†L{start_line_id}(-L{end_line_id})?】",
"tools": [
{
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"function": {
"name": "search",
"description": "Web search. Split multiple queries with '||'.",
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"content": "",
"reasoning_content": "用户想知道小柴胡冲剂和布洛芬能否一起服用。",
"tool_calls": [
{
"type": "function",
"function": {
"name": "search",
"arguments": "{\"queries\": \"小柴胡冲剂 布洛芬 相互作用 一起吃\"}"
}
}
]
},
{
"role": "tool",
"content": "[0]"
},
{
"role": "assistant",
"content": "请及时就医。",
"reasoning_content": "现在开始组织回答。",
"tool_calls": []
}
] |