Instructions to use theodor1289/flava_vision_infused_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use theodor1289/flava_vision_infused_2 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("theodor1289/flava_vision_infused_2") model = AutoModelForPreTraining.from_pretrained("theodor1289/flava_vision_infused_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3f7134221dde1d090730064623da887887c220b165363dd4edabf7a12934762
- Size of remote file:
- 1.43 GB
- SHA256:
- c97a98bd64564433652a9d5a9c537b41952f0ebd2ca82ea598efdec04420117a
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