|
--- |
|
datasets: |
|
- yjseo/etth1_for_llm2 |
|
- yjseo/etth1_for_llm |
|
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: |
|
from transformers import AutoModel |
|
|
|
# Load the model |
|
model = AutoModel.from_pretrained('MRNH/Feedformer-ett-hourly') |
|
|
|
For the model selection experiments llok at: |
|
https://wandb.ai/gec023/baseline-forecasting |
