Instructions to use CohereLabs/c4ai-command-r-plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CohereLabs/c4ai-command-r-plus with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="CohereLabs/c4ai-command-r-plus") 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") model = AutoModelForCausalLM.from_pretrained("CohereLabs/c4ai-command-r-plus") 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 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" # 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", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/CohereLabs/c4ai-command-r-plus
- SGLang
How to use CohereLabs/c4ai-command-r-plus 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" \ --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", "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" \ --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", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use CohereLabs/c4ai-command-r-plus with Docker Model Runner:
docker model run hf.co/CohereLabs/c4ai-command-r-plus
Is this model down in HuggingChat?
What's up? Can't get any response from this model. All others seem to be working. No "model is overloaded" message. It runs on a Space though, but I prefer HuggingChat. I tried different browsers and different prompt. Never any response.
Same here. This happened just over a month ago, too. It was down for one day then came back. Hopefully this is the same thing this time and it'll be back later. I'm not worrying yet!
It seems to be following a new change to the repository, @ahmetustun @Rocketknight1
HuggingChat is no longer working with the model.
Hey @iNeverLearnedHowToRead @MarkKra @mafistov , sorry about the inconvenience. But yes it looks like the model is down on HF chat.
I'll check with HF staff and Ahmet and we'll try to get the model back online asap. Will post here once the issue is resolved.
Will post here once the issue is resolved.
Beat you to it :P It's back and working perfectly. Thank you so much, @shivi
Thanks a lot @shivi !
Perfect, thanks for confirming that it's resolved now! Enjoy! :D