Text Generation
Transformers
ONNX
Safetensors
opt
trl
sft
optimum
danbooru
text-generation-inference
Instructions to use p1atdev/dart-v1-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use p1atdev/dart-v1-sft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="p1atdev/dart-v1-sft")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("p1atdev/dart-v1-sft") model = AutoModelForMultimodalLM.from_pretrained("p1atdev/dart-v1-sft") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use p1atdev/dart-v1-sft with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "p1atdev/dart-v1-sft" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "p1atdev/dart-v1-sft", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/p1atdev/dart-v1-sft
- SGLang
How to use p1atdev/dart-v1-sft 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 "p1atdev/dart-v1-sft" \ --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": "p1atdev/dart-v1-sft", "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 "p1atdev/dart-v1-sft" \ --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": "p1atdev/dart-v1-sft", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use p1atdev/dart-v1-sft with Docker Model Runner:
docker model run hf.co/p1atdev/dart-v1-sft
- Xet hash:
- f80bff752b32b693b29340c5a110363719fa61b1aba890f06380b4bedc4cbca8
- Size of remote file:
- 140 MB
- SHA256:
- 49439cead2bed6d64040ac7c85c0318819e51df65e64ba6fd9fd216cb7ab31c5
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