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
| c940c9d45a0ee5879b1f980ecab7c36a pytorch_model-00001-of-00007.bin | |
| 76ed9d3b168a0c7f6b14f0d581f130d7 pytorch_model-00002-of-00007.bin | |
| c8856c182b23e8d029e924427a28e54f pytorch_model-00003-of-00007.bin | |
| 6a8c0d10b3efe52eacf959ce8f851a55 pytorch_model-00004-of-00007.bin | |
| f735a09eb0a8eb8e5dd22941670741a2 pytorch_model-00005-of-00007.bin | |
| d0b62d2b1c099bba8dd5ba6691165c1b pytorch_model-00006-of-00007.bin | |
| 9153494d8705b88c2606b9c05ec1d535 pytorch_model-00007-of-00007.bin | |
| 291724ef50f729e45d68f474a7755bbc tokenizer.model | |