Datasets:
Download SWE-PolyBench/python/huggingface__transformers-13491.pkl from AmazonScience/SpIDER-Bench: direct link, hf CLI and curl.
- Browser
- Download file 80.3 MB
-
https://huggingface.co/datasets/AmazonScience/SpIDER-Bench/resolve/refs%2Fpr%2F1/SWE-PolyBench/python/huggingface__transformers-13491.pkl
- Command line
-
hf download hf://datasets/AmazonScience/SpIDER-Bench@refs/pr/1/SWE-PolyBench/python/huggingface__transformers-13491.pkl
-
curl -L -o huggingface__transformers-13491.pkl https://huggingface.co/datasets/AmazonScience/SpIDER-Bench/resolve/refs%2Fpr%2F1/SWE-PolyBench/python/huggingface__transformers-13491.pkl
80.3 MB
- Xet hash:
- 45badfe20ba9cfef1f1cde68c3539ecace2d0421e3682a6b8a8e622e5a1a034b
- Size of remote file:
- 80.3 MB
- SHA256:
- 70e01d5742ef9eda2889ce7bd14f02f50b20799178fe648033fe18614ef4ab67
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.