Update README.md

README.md

@@ -5,5 +5,39 @@ datasets:
 metrics:
 - mse
 ---
+"""
+This script uses the Hugging Face model 'MRNH/Feedformer-ett-hourly' to perform some task on the ETT-small dataset.
+
+Model: 'MRNH/Feedformer-ett-hourly'
+- This model is a transformer-based model designed for some task. (Replace 'some task' with the actual task the model is designed for)
+
+Dataset: 'ETT-small'
+- This dataset contains... (Replace with a brief description of the dataset)
+
+The script performs the following steps:
+1. Load the 'MRNH/Feedformer-ett-hourly' model from the Hugging Face model hub.
+2. Load the 'ETT-small' dataset.
+3. Preprocess the dataset as required by the model.
+4. Feed the preprocessed data into the model and collect the outputs.
+5. Postprocess the outputs and save the results.
+
+Example:
+```python
+from transformers import AutoModel
+
+# Load the model
+model = AutoModel.from_pretrained('MRNH/Feedformer-ett-hourly')
+
+# Load your dataset here
+# dataset = ...
+
+# Preprocess your dataset here
+# preprocessed_data = ...
+
+# Feed the data into the model
+# outputs = model(preprocessed_data)
+
+# Postprocess and save the results
+# results = ...
 For the model selection experiments llok at:
   https://wandb.ai/gec023/baseline-forecasting