Instructions to use nics-efc/C2C_Fuser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nics-efc/C2C_Fuser with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="nics-efc/C2C_Fuser")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nics-efc/C2C_Fuser", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use nics-efc/C2C_Fuser with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "nics-efc/C2C_Fuser" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "nics-efc/C2C_Fuser", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/nics-efc/C2C_Fuser
- SGLang
How to use nics-efc/C2C_Fuser 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 "nics-efc/C2C_Fuser" \ --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": "nics-efc/C2C_Fuser", "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 "nics-efc/C2C_Fuser" \ --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": "nics-efc/C2C_Fuser", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use nics-efc/C2C_Fuser with Docker Model Runner:
docker model run hf.co/nics-efc/C2C_Fuser
Add `library_name` and sample usage to model card
#1
by nielsr HF Staff - opened
This PR enhances the model card by:
- Adding the
library_name: transformersmetadata tag to enable the automated "How to use" widget on the Hugging Face Hub, as evidenced by the model's reliance ontransformers.AutoModelForCausalLMandtokenizerfunctionalities. - Including a "Sample Usage" section with a Python code snippet directly from the official GitHub repository's
README.md, making it easier for users to get started with the model. The snippet has been slightly adjusted to explicitly importAutoTokenizerfor clarity.
Please review and merge if these improvements align with your expectations.
fuvty changed pull request status to closed