Instructions to use GoofyLM/N2-Nemo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GoofyLM/N2-Nemo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="GoofyLM/N2-Nemo")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("GoofyLM/N2-Nemo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use GoofyLM/N2-Nemo with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "GoofyLM/N2-Nemo" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "GoofyLM/N2-Nemo", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/GoofyLM/N2-Nemo
- SGLang
How to use GoofyLM/N2-Nemo 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 "GoofyLM/N2-Nemo" \ --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": "GoofyLM/N2-Nemo", "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 "GoofyLM/N2-Nemo" \ --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": "GoofyLM/N2-Nemo", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use GoofyLM/N2-Nemo with Docker Model Runner:
docker model run hf.co/GoofyLM/N2-Nemo
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> Bro, i CANT write model cards! Also, the model is like... 2B parameters? idk why is under 0.5b. No. is not CoT this time.
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> Bro, i CANT write model cards! Also, the model is like... 2B parameters? idk why is under 0.5b. No. is not CoT this time. Um... feel free to write one after testing the model. why not?
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