Instructions to use cosuleabianca/eea-pm25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use cosuleabianca/eea-pm25 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://cosuleabianca/eea-pm25") - Notebooks
- Google Colab
- Kaggle
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This model has 35 files scanned as suspicious.
- models_rf_dl
- cnn_lstm_models
- gam
- gam_dl
- lgb
- lgb_dl
- lr_dl_models
- lr_models
- lstm_attention
- lstm_attention_models_exclude_FR
- lstm_attention_split_2_models
- lstm_cnn_models
- lstm_global_models
- lstm_residual
- lstm_ress_att
- models_gam
- models_gam_dl_exclude_FR
- models_gam_dl_split_2
- models_gam_exclude_FR
- models_gam_split_2
- models_lgb
- models_lgb_dl_exclude_FR
- models_lgb_dl_split_2
- models_lgb_exclude_FR
- models_lgb_split_2
- models_rf
- scalers
- xgb
- xgb_dl
- 4.7 kB
- 4.8 kB