Instructions to use OpenViVQA/sepet5_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenViVQA/sepet5_test with Transformers:
# Load model directly from transformers import SepeT5ForVQA model = SepeT5ForVQA.from_pretrained("OpenViVQA/sepet5_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8db679064b9480ed38281337000c6c0ae8191575387f8ba210157e1fa846c577
- Size of remote file:
- 4.48 kB
- SHA256:
- 545974d9a1ac42abf239533d6c7d3609c9f296944cda6ef69b7e5614f16461e0
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