Instructions to use GeWu-Lab/ROMA-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GeWu-Lab/ROMA-7B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("GeWu-Lab/ROMA-7B") model = AutoModel.from_pretrained("GeWu-Lab/ROMA-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tactile.bin from GeWu-Lab/ROMA-7B: direct link, hf CLI and curl.
- Browser
- Download file 5.51 MB
-
https://huggingface.co/GeWu-Lab/ROMA-7B/resolve/main/tactile.bin
- Command line
-
hf download hf://GeWu-Lab/ROMA-7B/tactile.bin
-
curl -L -o tactile.bin https://huggingface.co/GeWu-Lab/ROMA-7B/resolve/main/tactile.bin
5.51 MB
- Xet hash:
- 962802a3b1414df87df0d9121e372db9f3474de9250aa3ded5cfe453f0663550
- Size of remote file:
- 5.51 MB
- SHA256:
- 05300d0a17528e10ebc2926f83a2342dee9c49c0c9a76b3f578f7778feaa68f8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.