Transformers
PyTorch
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@@ -11,9 +11,6 @@ This script uses the Hugging Face model 'MRNH/Feedformer-ett-hourly' to perform
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  Model: 'MRNH/Feedformer-ett-hourly'
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  - This model is a transformer-based model designed for some task. (Replace 'some task' with the actual task the model is designed for)
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- Dataset: 'ETT-small'
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- - This dataset contains... (Replace with a brief description of the dataset)
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-
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  The script performs the following steps:
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  1. Load the 'MRNH/Feedformer-ett-hourly' model from the Hugging Face model hub.
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  2. Load the 'ETT-small' dataset.
@@ -27,6 +24,3 @@ Example:
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  model = AutoModel.from_pretrained('MRNH/Feedformer-ett-hourly')
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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
 
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  Model: 'MRNH/Feedformer-ett-hourly'
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  - This model is a transformer-based model designed for some task. (Replace 'some task' with the actual task the model is designed for)
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  The script performs the following steps:
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  1. Load the 'MRNH/Feedformer-ett-hourly' model from the Hugging Face model hub.
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  2. Load the 'ETT-small' dataset.
 
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  model = AutoModel.from_pretrained('MRNH/Feedformer-ett-hourly')
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