Instructions to use 01-ai/Yi-34B-200K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 01-ai/Yi-34B-200K with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="01-ai/Yi-34B-200K")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("01-ai/Yi-34B-200K") model = AutoModelForCausalLM.from_pretrained("01-ai/Yi-34B-200K") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use 01-ai/Yi-34B-200K with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "01-ai/Yi-34B-200K" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "01-ai/Yi-34B-200K", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/01-ai/Yi-34B-200K
- SGLang
How to use 01-ai/Yi-34B-200K 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 "01-ai/Yi-34B-200K" \ --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": "01-ai/Yi-34B-200K", "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 "01-ai/Yi-34B-200K" \ --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": "01-ai/Yi-34B-200K", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use 01-ai/Yi-34B-200K with Docker Model Runner:
docker model run hf.co/01-ai/Yi-34B-200K
| 86017adcb3076e243b3f07e38f3b33f3 pytorch_model-00001-of-00007.bin | |
| 0716bd614cd496044594b8fa58888dc1 pytorch_model-00002-of-00007.bin | |
| 5f84d51eef7eb3645cf06a79a1fa2592 pytorch_model-00003-of-00007.bin | |
| f91ff0e65f5f64c8b7b8c0eb52aa1738 pytorch_model-00004-of-00007.bin | |
| 63f1e78d652c40f06965e3299f01b9e8 pytorch_model-00005-of-00007.bin | |
| ac4df78c66c31fc3164d06b375aaee4a pytorch_model-00006-of-00007.bin | |
| e0fd1a655c86caaaff3ca9252991cc25 pytorch_model-00007-of-00007.bin | |
| 291724ef50f729e45d68f474a7755bbc tokenizer.model | |