Instructions to use evanarlian/synthetic-qwen-math-instruct_2024-12-10__03.32.51 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use evanarlian/synthetic-qwen-math-instruct_2024-12-10__03.32.51 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("evanarlian/synthetic-qwen-math-instruct_2024-12-10__03.32.51", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d85290a711d7970b8419e234efbf43ca5a01e5433cfb767b0e5d70e8d1b7e797
- Size of remote file:
- 148 MB
- SHA256:
- fe07881eaa7cb3a8a5933e68a55450b41723d5bce8cc04a482b09c45728b0b12
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.