README.md

---
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
---

<div align="center">
  ❤️ <span style="background: linear-gradient(45deg, #FF6347, #FFD700); -webkit-background-clip: text; -webkit-text-fill-color: transparent;">HAI-SER</span>
</div>

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  [📜 License](https://helpingai.co/license) | [🌐 Website](https://helpingai.co)
</div>

<div align="center" style="display: flex; justify-content: center; gap: 4px;">
  <img src="https://img.shields.io/badge/Model%20Type-SER-ff6347" alt="Model Type">
  <img src="https://img.shields.io/badge/Task-Emotional%20Reasoning-blue" alt="Task">
  <img src="https://img.shields.io/badge/Version-v1.0-yellow" alt="Version">
</div>

## 🌟 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**—it understands emotions, breaks down mental states, and offers **real, empathetic insights** for human-AI interaction. 🚀

### 💡 Core Features of HAI-SER

The **Structured Emotional Reasoning (SER) framework** is built upon these key pillars:

- **Emotional Vibe Check** – Reads emotional energy from conversations 🎭
- **Mind-State Analysis** – Understands thoughts, moods, and mental shifts 🧠
- **Root Cause Deep-Dive** – Identifies why emotions arise 🔍
- **Impact Check** – Evaluates how emotions affect real-life actions 💥
- **Safety Check** – Prioritizes user well-being 🚨
- **Healing Game Plan** – Offers structured support for growth & recovery 💪
- **Growth Potential** – Helps users evolve emotionally 📈
- **How to Approach** – Guides users in communication & self-awareness 🤝

## 🚀 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))
```

## ⚙️ Training Details

### 🏋️ 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.

### 📌 Capabilities
* **Understands and analyzes emotions** with high accuracy.
* **Provides tailored emotional insights** instead of generic responses.
* **Capable of deep reasoning** for emotional problem-solving.

## ⚠️ Limitations

* **Still evolving** – may not always capture deep emotions perfectly.
* **Not a replacement for professional therapy** – designed to support, not diagnose.
* **Best used with human moderation** in sensitive situations.

## 📚 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 ❤️ by HelpingAI**

[🌐 Website](https://helpingai.co) • [📜 License](https://helpingai.co/license) • [🤗 HuggingFace](https://huggingface.co/HelpingAI) • [💬 Discord](https://discord.gg/YweJwNqrnH)