Instructions to use caid-technologies/parti-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use caid-technologies/parti-base with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="caid-technologies/parti-base")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("caid-technologies/parti-base")
model = AutoModelForCausalLM.from_pretrained("caid-technologies/parti-base", device_map="auto")
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 Settings

vLLM

How to use caid-technologies/parti-base with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "caid-technologies/parti-base"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "caid-technologies/parti-base",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/caid-technologies/parti-base

SGLang

How to use caid-technologies/parti-base 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 "caid-technologies/parti-base" \
    --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": "caid-technologies/parti-base",
		"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 "caid-technologies/parti-base" \
        --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": "caid-technologies/parti-base",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use caid-technologies/parti-base with Docker Model Runner:
```
docker model run hf.co/caid-technologies/parti-base
```

Demo for this model on Spaces

by multimodalart - opened 10 days ago

Discussion

multimodalart

10 days ago

Hi @caid-technologies 🤗

I'm Apolinario, from the open-source team at Hugging Face. Congrats and thanks for open-sourcing caid-technologies/parti-base on the Hub! We were excited about this work and built with an agent an interactive demo app of it on Hugging Face Spaces, running on a free ZeroGPU infrastructure.

Here's a link to the demo: https://huggingface.co/spaces/hugging-apps/hardware-blueprint-generator

We would love to transfer this demo to you or your organization. Would you like this demo to live under your own account or organization? If so just let me know here which username to transfer to, and we'll transfer the Space over to you, we hope it can give your work more visibility, discoverability and allows folks to try it out.

(If you have any questions or just want to chat more about this, you can find me on Twitter, LinkedIn or apolinario @ huggingface.co)

Cheers,

Poli

hudien changed discussion status to closed 7 days ago

hudien

Caid org 2 days ago

Yes,
I would like to this demo to transfer to my organization and demo live under Caid. I would like to understand more about ZeroGPU and how to collaborate and increase open-source moving forward while increasing visibility and transparency of our work. Also, the link of spaces is redirected and the name of our project is Parti not hardware blueprint generator. I want to fix the UI/UX of the interface and improve that.

multimodalart

2 days ago

Great! Thanks again for contributing to open source 🤗

Transferred to: https://huggingface.co/spaces/caid-technologies/parti
Free to post about, put the demo on the project page, reference it on repos, etc. if you wish

Also, as you said, feel more than free to take ownership and make modifications as you see fit - including the name. For future releases from you, would be great if they already came with a demos! You can use this one as a blueprint to build by yourself or with the help of an agent, you can load the huggingface-spaces skill on Claude Code, Codex, Pi, etc.

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment