Instructions to use Hume-vla/Hume-System2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hume-vla/Hume-System2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Hume-vla/Hume-System2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Hume-vla/Hume-System2: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/Hume-vla/Hume-System2/resolve/main/tokenizer.json
- Command line
-
hf download hf://Hume-vla/Hume-System2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Hume-vla/Hume-System2/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- b3876dd6f9d7b694965eff0dfbc5c43c30cd6b6bdb159ceec9fa879460eb4cdb
- Size of remote file:
- 34.4 MB
- SHA256:
- 9d20a85d1cb83be179f5892faf2fdaf9044d94bbcbd668f4d03cecefd7789483
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.