Instructions to use meituan-longcat/LongCat-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use meituan-longcat/LongCat-Image with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("meituan-longcat/LongCat-Image", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 4d94eaa42c035addb78544cc556a7eb90b27ae608afebb41bd74289e65db6878
- Size of remote file:
- 6.65 MB
- SHA256:
- acac6060c7001a8bd2dc325b1ef3204d20739c7e7881e6d0717441ec6681cd20
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.