Instructions to use Master-AI-Lab/Lumi-Transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Master-AI-Lab/Lumi-Transformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Master-AI-Lab/Lumi-Transformer") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Master-AI-Lab/Lumi-Transformer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| python==3.7.16 | |
| torch==1.9.0+cu111 | |
| torchvision==0.10.0+cu111 | |
| cudatoolkit==10.2.89 | |
| cuda==12.1.1 | |
| timm==0.4.12 | |
| opencv-python==4.4.0.46 | |
| termcolor==1.1.0 | |
| yacs==0.1.8 | |
| pyyaml==6.0 | |
| scipy==1.7.3 |