Instructions to use Hemachandiran/medqa-deepseek with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hemachandiran/medqa-deepseek with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Hemachandiran/medqa-deepseek", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 619f229303c9deea4017c24895cf632f8d4817ae0745bdbff4d4a8982e1fa0b5
- Size of remote file:
- 11.4 MB
- SHA256:
- 322664cdc3082b6eba003af5228a77ca1d7936d402e584ecde8f15d3d98bdb72
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