Instructions to use MRNH/Feedformer-ett-hourly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MRNH/Feedformer-ett-hourly with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MRNH/Feedformer-ett-hourly", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc34d66123562f745a5421dbb6d79da40a5c41af549cb92b28c84d07a2fefaef
- Size of remote file:
- 1.22 GB
- SHA256:
- 1389b66c5ff870915131accc7089234344b026856e46ee34cc804f153d666434
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