---
license: other
license_name: helpingai
license_link: https://helpingai.co/license
pipeline_tag: text-generation
language:
- en
tags:
- HelpingAI
- SER
- Emotional Reasoning
- Conversational AI
library_name: transformers
---
β€οΈ HAI-SER
[π License](https://helpingai.co/license) | [π Website](https://helpingai.co)
## π About HAI-SER
**HAI-SER** is HelpingAI's revolutionary **Structured Emotional Reasoning (SER) model**, crafted to redefine the emotional intelligence of AI. Unlike traditional models, **HAI-SER goes beyond words**βit understands emotions, breaks down mental states, and offers **real, empathetic insights** for human-AI interaction. π
### π‘ Core Features of HAI-SER
The **Structured Emotional Reasoning (SER) framework** is built upon these key pillars:
- **Emotional Vibe Check** β Reads emotional energy from conversations π
- **Mind-State Analysis** β Understands thoughts, moods, and mental shifts π§
- **Root Cause Deep-Dive** β Identifies why emotions arise π
- **Impact Check** β Evaluates how emotions affect real-life actions π₯
- **Safety Check** β Prioritizes user well-being π¨
- **Healing Game Plan** β Offers structured support for growth & recovery πͺ
- **Growth Potential** β Helps users evolve emotionally π
- **How to Approach** β Guides users in communication & self-awareness π€
## π Implementation
### Load HAI-SER with Hugging Face Transformers
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
# Load HAI-SER
model = AutoModelForCausalLM.from_pretrained("HelpingAI/HAI-SER")
tokenizer = AutoTokenizer.from_pretrained("HelpingAI/HAI-SER")
# Example usage
chat = [
{"role": "system", "content": "You are an emotionally intelligent AI assistant who always thinks step by step before responding."},
{"role": "user", "content": "I feel really stressed out about my exams."}
]
inputs = tokenizer.apply_chat_template(
chat,
add_generation_prompt=True,
return_tensors="pt"
)
outputs = model.generate(
inputs,
max_new_tokens=128,
temperature=0.7,
top_p=0.9,
)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
```
## βοΈ Training Details
### ποΈ Training Data
* Trained on a curated dataset emphasizing emotional intelligence, human psychology, and nuanced conversation.
* Includes dialogues from mental health scenarios, coaching sessions, and empathetic responses.
### π Capabilities
* **Understands and analyzes emotions** with high accuracy.
* **Provides tailored emotional insights** instead of generic responses.
* **Capable of deep reasoning** for emotional problem-solving.
## β οΈ Limitations
* **Still evolving** β may not always capture deep emotions perfectly.
* **Not a replacement for professional therapy** β designed to support, not diagnose.
* **Best used with human moderation** in sensitive situations.
## π Citation
```bibtex
@misc{haiser2025,
author = {HelpingAI Team},
title = {HAI-SER: Structured Emotional Reasoning for Empathetic AI},
year = {2025},
publisher = {HelpingAI},
journal = {HuggingFace},
howpublished = {\url{https://huggingface.co/HelpingAI/HAI-SER}}
}
```
---
**Created with β€οΈ by HelpingAI**
[π Website](https://helpingai.co) β’ [π License](https://helpingai.co/license) β’ [π€ HuggingFace](https://huggingface.co/HelpingAI) β’ [π¬ Discord](https://discord.gg/YweJwNqrnH)