Instructions to use AlanRobotics/opt-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlanRobotics/opt-ru with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="AlanRobotics/opt-ru")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("AlanRobotics/opt-ru") model = AutoModelForCausalLM.from_pretrained("AlanRobotics/opt-ru") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use AlanRobotics/opt-ru with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "AlanRobotics/opt-ru" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "AlanRobotics/opt-ru", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/AlanRobotics/opt-ru
- SGLang
How to use AlanRobotics/opt-ru 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 "AlanRobotics/opt-ru" \ --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": "AlanRobotics/opt-ru", "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 "AlanRobotics/opt-ru" \ --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": "AlanRobotics/opt-ru", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use AlanRobotics/opt-ru with Docker Model Runner:
docker model run hf.co/AlanRobotics/opt-ru
- Xet hash:
- 3bb82b9bcf0df752a6ad17bda86db40b0a33a88afe7533e3d461c72f38f4bfc4
- Size of remote file:
- 3.96 kB
- SHA256:
- 6f5f6a4936fb61d16cce72bc85e2117e73007b0faf5f865241864d7bd52c03d7
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