Instructions to use Raghavan/beit3_base_patch16_480_coco_captioning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raghavan/beit3_base_patch16_480_coco_captioning with Transformers:
# Load model directly from transformers import Beit3ForCaptioning model = Beit3ForCaptioning.from_pretrained("Raghavan/beit3_base_patch16_480_coco_captioning", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd4a21866503b66091c10cced9b55c943fc579a492671e34e8b63daab2b434bc
- Size of remote file:
- 1.08 GB
- SHA256:
- c7043e0e72f2e7375779414e3284710d5bb96988099ebba81d74abfa798ca26f
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