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@@ -21,11 +21,12 @@ The script performs the following steps:
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  4. Feed the preprocessed data into the model and collect the outputs.
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  5. Postprocess the outputs and save the results.
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  Example:
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  from transformers import AutoModel
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-
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- # Load the model
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  model = AutoModel.from_pretrained('MRNH/Feedformer-ett-hourly')
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  For the model selection experiments llok at:
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  https://wandb.ai/gec023/baseline-forecasting
 
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  4. Feed the preprocessed data into the model and collect the outputs.
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  5. Postprocess the outputs and save the results.
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+
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  Example:
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  from transformers import AutoModel
 
 
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  model = AutoModel.from_pretrained('MRNH/Feedformer-ett-hourly')
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+
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+
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  For the model selection experiments llok at:
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  https://wandb.ai/gec023/baseline-forecasting