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
#2
by nielsr HF Staff - opened
This PR enhances the model card by:
- Adding
library_name: transformersto the metadata, which enables the "how to use" widget on the model page. - Expanding the model description with details from the paper abstract/GitHub README summary.
- Including a "Sample Usage" section with a code snippet directly from the official GitHub repository's "Use Hugging Face weights" instructions, demonstrating how to load and perform inference with the model.
These improvements will make the model more discoverable and easier to use for the community.
Thanks for the great contribution! This PR significantly improves the model card by adding metadata, expanding the description, and including a sample usage example. Merging it now π
minzh23 changed pull request status to merged