Instructions to use ZinengTang/image-qformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZinengTang/image-qformer with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("ZinengTang/image-qformer") model = AutoModel.from_pretrained("ZinengTang/image-qformer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be38127fd1e94f034d2dd860ee82f7f32e9243360ffc9c8af8fb6eb8e1877d0c
- Size of remote file:
- 4.36 GB
- SHA256:
- e01c57813d103c4430468dca693984c0f547e3a7fed28ea17208997e6c5d31b0
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