Instructions to use PedroLancharesSanchez/graph-regression with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PedroLancharesSanchez/graph-regression with Transformers:
# Load model directly from transformers import GraphormerForGraphClassification model = GraphormerForGraphClassification.from_pretrained("PedroLancharesSanchez/graph-regression", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from PedroLancharesSanchez/graph-regression: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/PedroLancharesSanchez/graph-regression/resolve/main/training_args.bin
- Command line
-
hf download hf://PedroLancharesSanchez/graph-regression/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/PedroLancharesSanchez/graph-regression/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 95f82bfbfd5d7f618e9d853be09beec62eec868a5b2652669b35ded7d5ffdbc6
- Size of remote file:
- 4.92 kB
- SHA256:
- 7c17612996265e969b6f4216117eef0ca8b197f9feedf4b97c71d93275b8a42b
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