| | --- |
| | 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. |
