Instructions to use Shekswess/tiny-think-sft-math-stem-loss-dft-bf16-lr5e-5-e2-bs8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shekswess/tiny-think-sft-math-stem-loss-dft-bf16-lr5e-5-e2-bs8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Shekswess/tiny-think-sft-math-stem-loss-dft-bf16-lr5e-5-e2-bs8", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe4ed57b2beae13bed7290ad652dea23eea39b370d8244b2392c21fc4ee162f3
- Size of remote file:
- 281 MB
- SHA256:
- 778ed80fbc738674508317e646f95bd4026b5396a5a205e619ef90f6dbf238c5
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