Datasets:
Download SWE-PolyBench/python/huggingface__transformers-18851.pkl from AmazonScience/SpIDER-Bench: direct link, hf CLI and curl.
- Browser
- Download file 106 MB
-
https://huggingface.co/datasets/AmazonScience/SpIDER-Bench/resolve/refs%2Fpr%2F1/SWE-PolyBench/python/huggingface__transformers-18851.pkl
- Command line
-
hf download hf://datasets/AmazonScience/SpIDER-Bench@refs/pr/1/SWE-PolyBench/python/huggingface__transformers-18851.pkl
-
curl -L -o huggingface__transformers-18851.pkl https://huggingface.co/datasets/AmazonScience/SpIDER-Bench/resolve/refs%2Fpr%2F1/SWE-PolyBench/python/huggingface__transformers-18851.pkl
106 MB
- Xet hash:
- d8bd6f5850f346894761033d6d7c41f80bdcbb69e9f4f4d3211a97a579aa2126
- Size of remote file:
- 106 MB
- SHA256:
- 143cf601ba23f8d2c7536b6919bfe0d232f81881e2ea0c73a3b8c25224cd6637
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.