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@@ -5,7 +5,7 @@ datasets:
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  metrics:
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  - mse
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  ---
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- """
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  This script uses the Hugging Face model 'MRNH/Feedformer-ett-hourly' to perform some task on the ETT-small dataset.
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  Model: 'MRNH/Feedformer-ett-hourly'
@@ -28,16 +28,5 @@ from transformers import AutoModel
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  # Load the model
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  model = AutoModel.from_pretrained('MRNH/Feedformer-ett-hourly')
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- # Load your dataset here
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- # dataset = ...
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-
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- # Preprocess your dataset here
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- # preprocessed_data = ...
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-
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- # Feed the data into the model
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- # outputs = model(preprocessed_data)
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-
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- # Postprocess and save the results
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- # results = ...
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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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  metrics:
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  - mse
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  ---
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+
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  This script uses the Hugging Face model 'MRNH/Feedformer-ett-hourly' to perform some task on the ETT-small dataset.
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  Model: 'MRNH/Feedformer-ett-hourly'
 
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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