Instructions to use michaelwaves/hal9000-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelwaves/hal9000-adapter with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelwaves/hal9000-adapter", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c528bbcda827d3a8d85ea07f407ae03d4321a3210612bf129fe952fca6c45c7
- Size of remote file:
- 6.23 kB
- SHA256:
- ddbe394eb3a7b41638eab0cb9b8de77ece7b8a44cf2151fae1e08c6a3210938b
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