Instructions to use ielabgroup/Rank-R1-32B-v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ielabgroup/Rank-R1-32B-v0.2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ielabgroup/Rank-R1-32B-v0.2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02b81ac7cfbdde89192086ed0cece95ae790acb2aaf3d4486699314d35a7f7a5
- Size of remote file:
- 11.4 MB
- SHA256:
- 67cc0080ffd7555f723f423c27cfef314e1ad9d335c8b79f465c5faba1ed478b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.