Instructions to use iTroned/self_iterative_v2_targeted_iteration_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iTroned/self_iterative_v2_targeted_iteration_0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("iTroned/self_iterative_v2_targeted_iteration_0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ef26de62430d04f9646cafa1610f2a7fabb76579c638c868666e90fad4a56c0
- Size of remote file:
- 1.98 GB
- SHA256:
- 32dbce69654a4733a8ddd35b230ee49b3f642fdf87806a8ddf79a83fd3759428
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