Instructions to use camlab-ethz/Poseidon-L with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use camlab-ethz/Poseidon-L with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SwinForPDE processor = AutoImageProcessor.from_pretrained("camlab-ethz/Poseidon-L") model = SwinForPDE.from_pretrained("camlab-ethz/Poseidon-L", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from camlab-ethz/Poseidon-L: direct link, hf CLI and curl.
- Browser
- Download file 2.51 GB
-
https://huggingface.co/camlab-ethz/Poseidon-L/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://camlab-ethz/Poseidon-L/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/camlab-ethz/Poseidon-L/resolve/main/pytorch_model.bin
2.51 GB
- Xet hash:
- e56d67cd8ad65f34bf8ad0dcc99000851ff8dcf9b7e0db57d62ac1f0a7ab9817
- Size of remote file:
- 2.51 GB
- SHA256:
- d893915a6a1bb2aae5f860078b438f906cc97dbd425f56f5fe12f7f1399d0fc0
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