Instructions to use d-donia/qwen-2.5-VL-3b-unsloth-no-visual-ft-aug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use d-donia/qwen-2.5-VL-3b-unsloth-no-visual-ft-aug with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("d-donia/qwen-2.5-VL-3b-unsloth-no-visual-ft-aug", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
| base_model: unsloth/Qwen2.5-VL-3B-Instruct-unsloth-bnb-4bit | |
| tags: | |
| - text-generation-inference | |
| - transformers | |
| - unsloth | |
| - qwen2_5_vl | |
| - trl | |
| license: apache-2.0 | |
| language: | |
| - en | |
| # Uploaded model | |
| - **Developed by:** d-donia | |
| - **License:** apache-2.0 | |
| - **Finetuned from model :** unsloth/Qwen2.5-VL-3B-Instruct-unsloth-bnb-4bit | |
| This qwen2_5_vl model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. | |
| [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) | |