Instructions to use deepseek-ai/DeepSeek-V4-Flash-0731 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use deepseek-ai/DeepSeek-V4-Flash-0731 with Transformers:

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

pipe = pipeline("text-generation", model="deepseek-ai/DeepSeek-V4-Flash-0731")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("deepseek-ai/DeepSeek-V4-Flash-0731")
model = AutoModelForCausalLM.from_pretrained("deepseek-ai/DeepSeek-V4-Flash-0731", device_map="auto")

Inference
HuggingChat
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use deepseek-ai/DeepSeek-V4-Flash-0731 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "deepseek-ai/DeepSeek-V4-Flash-0731"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "deepseek-ai/DeepSeek-V4-Flash-0731",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/deepseek-ai/DeepSeek-V4-Flash-0731

SGLang

How to use deepseek-ai/DeepSeek-V4-Flash-0731 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 "deepseek-ai/DeepSeek-V4-Flash-0731" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "deepseek-ai/DeepSeek-V4-Flash-0731",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "deepseek-ai/DeepSeek-V4-Flash-0731" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "deepseek-ai/DeepSeek-V4-Flash-0731",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use deepseek-ai/DeepSeek-V4-Flash-0731 with Docker Model Runner:
```
docker model run hf.co/deepseek-ai/DeepSeek-V4-Flash-0731
```

add sglang cookbook to model card

#20

by zjxia - opened 7 days ago

base: refs/heads/main

←

from: refs/pr/20

Discussion Files changed

+17

-0

zjxia

7 days ago

No description provided.

add sglang cookbook to model cardeefe33dc

msr2000 changed pull request status to merged 6 days ago

nh624581

4 days ago

curl https://api.anthropic.com/v1/messages
--header "x-api-key: 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"
--header "anthropic-version: 2023-06-01"
--header "content-type: application/json"
--data '{"model": "claude-sonnet-4-6", "max_tokens": 1024,
"messages": [{"role": "user", "content": "Hello, world"}]}'

nh624581

4 days ago

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

Sabahudin123

3 days ago

This comment has been hidden

Raylgong

about 5 hours ago

curl https://api.anthropic.com/v1/messages
--header "x-api-key: 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"
--header "anthropic-version: 2023-06-01"
--header "content-type: application/json"
--data '{"model": "claude-sonnet-4-6", "max_tokens": 1024,
"messages": [{"role": "user", "content": "Hello, world"}]}'

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