Instructions to use clefourrier/graphormer-base-pcqm4mv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clefourrier/graphormer-base-pcqm4mv2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import GraphormerForGraphClassification model = GraphormerForGraphClassification.from_pretrained("clefourrier/graphormer-base-pcqm4mv2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from clefourrier/graphormer-base-pcqm4mv2: direct link, hf CLI and curl.
- Browser
- Download file 191 MB
-
https://huggingface.co/clefourrier/graphormer-base-pcqm4mv2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://clefourrier/graphormer-base-pcqm4mv2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/clefourrier/graphormer-base-pcqm4mv2/resolve/main/pytorch_model.bin
191 MB
- Xet hash:
- 3ab405ff6f42163211f5db4c0235a7cca16c1b1ac615aa152795a46f4c6deb3e
- Size of remote file:
- 191 MB
- SHA256:
- fc92119f232e1918df3d342a51f4523d6354c9b7f1d4819e2915cc66e0ad73cc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.