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 ROMA-LLM.bin from GeWu-Lab/ROMA-7B: direct link, hf CLI and curl.
- Browser
- Download file 15.2 GB
-
https://huggingface.co/GeWu-Lab/ROMA-7B/resolve/main/ROMA-LLM.bin
- Command line
-
hf download hf://GeWu-Lab/ROMA-7B/ROMA-LLM.bin
-
curl -L -o ROMA-LLM.bin https://huggingface.co/GeWu-Lab/ROMA-7B/resolve/main/ROMA-LLM.bin
15.2 GB
- Xet hash:
- 6ca56fb1ab295924facdaa989eb1425bcf18ccea7ab1b53d4dc67c4a57fa3432
- Size of remote file:
- 15.2 GB
- SHA256:
- c303951cdc27dfce519415f61ebe864cf819f75579d34aed2307b44fa9b2ded7
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