Instructions to use openclimatefix/power_perceiver with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openclimatefix/power_perceiver with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("openclimatefix/power_perceiver", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"d_model": 256, "num_heads": 32, "dropout": 0.1, "share_weights_across_latent_transformer_layers": false, "num_latent_transformer_encoders": 8, "cheat": false, "num_5_min_history_timesteps_during_training": 4, "num_5_min_forecast_timesteps_during_training": 6, "num_gaussians": 4, "num_rnn_layers": 4} |