Instructions to use ncgc/pythia_410m_hh_ga_highestC.fadam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ncgc/pythia_410m_hh_ga_highestC.fadam with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ncgc/pythia_410m_hh_ga_highestC.fadam", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2ca915284de3714d4b8939d8440500096bb5a427718aebd6fd0f005494048ae
- Size of remote file:
- 6.23 kB
- SHA256:
- 3fb3885b4dd0515d6ed915fd16d14807d8fd94dbff7f2ee806b710955cbab6df
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