Instructions to use BrainHealthAI/qwen2.5-MedQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BrainHealthAI/qwen2.5-MedQA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BrainHealthAI/qwen2.5-MedQA", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d272cd0ce1484bc7fcd4ec85b3778d1781fac6cd2c0d0bc6ef8917c193e4906
- Size of remote file:
- 11.4 MB
- SHA256:
- 145191e3b102f64e84dab1926006ee71528c1ea536df048ef9ff6c48d01f95de
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.