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 audio.bin from GeWu-Lab/ROMA-7B: direct link, hf CLI and curl.
- Browser
- Download file 1.28 GB
-
https://huggingface.co/GeWu-Lab/ROMA-7B/resolve/main/audio.bin
- Command line
-
hf download hf://GeWu-Lab/ROMA-7B/audio.bin
-
curl -L -o audio.bin https://huggingface.co/GeWu-Lab/ROMA-7B/resolve/main/audio.bin
1.28 GB
- Xet hash:
- a09d8fa96680acaf777fcfaf1b158bfff851d95bb6e0c7efceb6404e32b645a3
- Size of remote file:
- 1.28 GB
- SHA256:
- 8ac16f02491d119013a67a4bc97ba57e17ba157784cda364b14d482616e6f246
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