Instructions to use kleopatra102/wind_power2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kleopatra102/wind_power2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, TimeSeriesTransformerForPrediction tokenizer = AutoTokenizer.from_pretrained("kleopatra102/wind_power2") model = TimeSeriesTransformerForPrediction.from_pretrained("kleopatra102/wind_power2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kleopatra102/wind_power2: direct link, hf CLI and curl.
- Browser
- Download file 350 kB
-
https://huggingface.co/kleopatra102/wind_power2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kleopatra102/wind_power2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kleopatra102/wind_power2/resolve/main/pytorch_model.bin
350 kB
- Xet hash:
- 8635d7cf480758cef025954d6bb6718d310d9eae6d7a7f2a49c2c8b6a8864e1e
- Size of remote file:
- 350 kB
- SHA256:
- 304651a63368e591b10234e47410dd1bdfa19468dc1d65425e0da79175675d86
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