README.md

metadata

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

# 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.