Instructions to use iamthe66epitaph/BabyAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iamthe66epitaph/BabyAI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="iamthe66epitaph/BabyAI")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("iamthe66epitaph/BabyAI", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| # Erebus: Custom Qwen2.5-VL Baby AI | |
| **Erebus** is a custom instance of the Qwen2.5-VL-7B model in GGUF format, created for research and experimentation with interactive AI development. Erebus is designed to be run locally using Python scripts and can respond to prompts with conversational output. | |
| ## Files in this repository | |
| Qwen2.5-VL-7B-Instruct-BF16.gguf – The core model file (GGUF format) | |
| chat_light.py – Python script to interact with Erebus | |
| baby_ai.py – Core initialization and management script | |
| requirements.txt – Python dependencies needed to run the scripts | |
| ## Usage | |
| 1. Clone the repository: | |
| bash | |
| git clone https://huggingface.co/<your-username>/erebus | |
| cd erebus |