Instructions to use liuwenhan/reasonrank-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liuwenhan/reasonrank-7B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("liuwenhan/reasonrank-7B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e567648235d646793a45bff5accd891fa9bf478e745ccbce29b82812309f6ed3
- Size of remote file:
- 11.4 MB
- SHA256:
- f35ba5a1cb7f472166d1b8cabf18bd66216a0bfb6e8449da2c55e29bd9059934
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