---
tags:
  - pytorch
  - safetensors
library_name: transformers
license: mit
---

# easytt1178 / example-model

Model card

## Overview
- This repository is prepared as a starting point for a Hugging Face model.
- Replace placeholder text and add your model weights, configuration, and usage examples.

## Intended Uses
- Inference and fine-tuning examples can be added here.

## Files
- Add model weights (e.g., `*.safetensors`, `*.bin`, `*.onnx`) under a `models/` directory.
- Include `config.json` or other framework-specific configs.

## How to Use
```python
# Example usage (replace with your model)
# from transformers import AutoModel, AutoTokenizer
# tok = AutoTokenizer.from_pretrained("easytt1178/example-model")
# model = AutoModel.from_pretrained("easytt1178/example-model")
```

## Multi-Agent Orchestrator (Local)
- Requirements: `pip install -r requirements.txt`
- Set token (for HF Inference API): `$env:HF_TOKEN = "hf_..."`
- Run UI: `python app.py` then open the shown URL.

Agents
- Code: generate code via HF Inference API
- Vision: text-to-image via HF Inference API
- Bot: scaffolds Telegram/Discord bots
- Reasoning: simple planning steps


## Training Data and Evaluation
- Describe datasets, preprocessing, metrics, and evaluation results.

## License
- Specify the license for your model and code.

## Citation
- Add BibTeX or other references if applicable.