Text Generation
Transformers
Safetensors
English
DUO
fill-mask
diffusion-language-model
discrete-diffusion
inverse-distillation
duo-dcd
uniform-diffusion
custom_code
Instructions to use kekchpek/idlm-dcd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kekchpek/idlm-dcd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="kekchpek/idlm-dcd", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("kekchpek/idlm-dcd", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use kekchpek/idlm-dcd with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "kekchpek/idlm-dcd" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "kekchpek/idlm-dcd", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/kekchpek/idlm-dcd
- SGLang
How to use kekchpek/idlm-dcd 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 "kekchpek/idlm-dcd" \ --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": "kekchpek/idlm-dcd", "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 "kekchpek/idlm-dcd" \ --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": "kekchpek/idlm-dcd", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use kekchpek/idlm-dcd with Docker Model Runner:
docker model run hf.co/kekchpek/idlm-dcd
- Xet hash:
- 7a8dfb77027d540fd7247c944637d11470424e8f89b36e622b2d6fa062fe62fe
- Size of remote file:
- 679 MB
- SHA256:
- 7a5400135d1ee5d1aa3a578aaf3f3c5b2ceeb626847194ccfaf089c6634411d3
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