Instructions to use code-kunkun/LamRA-Ret-Pretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use code-kunkun/LamRA-Ret-Pretrained with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("code-kunkun/LamRA-Ret-Pretrained", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1868a872972fb3edce84d2b37d85d73e698b99ff8eb8707428411ab7af4ec5e8
- Size of remote file:
- 6.78 kB
- SHA256:
- 80f37aeb4902b7cf11deeb1df2befbccb74ab20dff165dca561ededc187c7820
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