Instructions to use CohereLabs/c4ai-command-r-plus-08-2024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CohereLabs/c4ai-command-r-plus-08-2024 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="CohereLabs/c4ai-command-r-plus-08-2024") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("CohereLabs/c4ai-command-r-plus-08-2024") model = AutoModelForCausalLM.from_pretrained("CohereLabs/c4ai-command-r-plus-08-2024") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use CohereLabs/c4ai-command-r-plus-08-2024 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "CohereLabs/c4ai-command-r-plus-08-2024" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "CohereLabs/c4ai-command-r-plus-08-2024", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/CohereLabs/c4ai-command-r-plus-08-2024
- SGLang
How to use CohereLabs/c4ai-command-r-plus-08-2024 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 "CohereLabs/c4ai-command-r-plus-08-2024" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "CohereLabs/c4ai-command-r-plus-08-2024", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'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 "CohereLabs/c4ai-command-r-plus-08-2024" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "CohereLabs/c4ai-command-r-plus-08-2024", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use CohereLabs/c4ai-command-r-plus-08-2024 with Docker Model Runner:
docker model run hf.co/CohereLabs/c4ai-command-r-plus-08-2024
The `safety_mode` parameter?
#2
by jukofyork - opened
https://docs.cohere.com/docs/safety-modes
Is this just something sent to the official Cohere API, or is it something we can control using the Transformers version in this repo via the preemble in the system message?
I think they still use the same safety preamble. Those settings just recall one.
alexrs changed discussion status to closed
@jukofyork Actually, you can use the safety instructions present in https://docs.cohere.com/docs/safety-modes to recreate the same behavior you get in the API! Sorry for the confuision.
alexrs changed discussion status to open
alexrs changed discussion status to closed