Text Generation
Transformers
Safetensors
HelpingAI
Emotionally Intelligent
EQ
conversational
custom_code
Instructions to use OEvortex/HelpingAI-3B-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OEvortex/HelpingAI-3B-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="OEvortex/HelpingAI-3B-v3", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("OEvortex/HelpingAI-3B-v3", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use OEvortex/HelpingAI-3B-v3 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "OEvortex/HelpingAI-3B-v3" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OEvortex/HelpingAI-3B-v3", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/OEvortex/HelpingAI-3B-v3
- SGLang
How to use OEvortex/HelpingAI-3B-v3 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 "OEvortex/HelpingAI-3B-v3" \ --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": "OEvortex/HelpingAI-3B-v3", "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 "OEvortex/HelpingAI-3B-v3" \ --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": "OEvortex/HelpingAI-3B-v3", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use OEvortex/HelpingAI-3B-v3 with Docker Model Runner:
docker model run hf.co/OEvortex/HelpingAI-3B-v3
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# HelpingAI-3B: Emotionally Intelligent Conversational AI
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๐ค Understanding body language and facial expressions can be a complex task, but I can definitely help you with that! ๐ When someone is feeling happy, their face might smile, their eyes might light up, and they might have an open and relaxed posture. Worrying or sadness might be shown through furrowed brows, a tense posture, and a downturned mouth. Anger might be shown through clenched teeth, a furrowed brow, and a tense body language. Love and affection might be shown through a heart-shaped face, a smile, and open arms. These are just generalizations, and there can be a wide range of emotions people express, but it's a good starting point for understanding body language and facial expressions. If you want to learn more, I'm here to help! ๐
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# HelpingAI-3B: Emotionally Intelligent Conversational AI
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๐ค Understanding body language and facial expressions can be a complex task, but I can definitely help you with that! ๐ When someone is feeling happy, their face might smile, their eyes might light up, and they might have an open and relaxed posture. Worrying or sadness might be shown through furrowed brows, a tense posture, and a downturned mouth. Anger might be shown through clenched teeth, a furrowed brow, and a tense body language. Love and affection might be shown through a heart-shaped face, a smile, and open arms. These are just generalizations, and there can be a wide range of emotions people express, but it's a good starting point for understanding body language and facial expressions. If you want to learn more, I'm here to help! ๐
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