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README.md
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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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# 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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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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For the model selection experiments llok at:
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https://wandb.ai/gec023/baseline-forecasting
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