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---
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. |