Instructions to use iTroned/self_iterative_v2_targeted_iteration_1 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_1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("iTroned/self_iterative_v2_targeted_iteration_1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 319744d21a5f375dec8de8399b9aa7e7cd36ffec1de0ec6f35356b209b4a0237
- Size of remote file:
- 1.98 GB
- SHA256:
- 24dcd17b705aea7a4fa7f34b1ec6de3dd845f9fcaf233eae6e08d7465d302f24
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