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:
- d6437476170ec68ec36feb9115e8d8232c6d773b064a6d44cc8a4bd386dc5b4d
- Size of remote file:
- 1.98 GB
- SHA256:
- b50f79da3c65b6e23320d45e1f85b450d3e0dbaf99b696eb621caa27d07caa8a
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