Datasets:
Download SWE-PolyBench/python/huggingface__transformers-16814.pkl from AmazonScience/SpIDER-Bench: direct link, hf CLI and curl.
- Browser
- Download file 87.8 MB
-
https://huggingface.co/datasets/AmazonScience/SpIDER-Bench/resolve/refs%2Fpr%2F1/SWE-PolyBench/python/huggingface__transformers-16814.pkl
- Command line
-
hf download hf://datasets/AmazonScience/SpIDER-Bench@refs/pr/1/SWE-PolyBench/python/huggingface__transformers-16814.pkl
-
curl -L -o huggingface__transformers-16814.pkl https://huggingface.co/datasets/AmazonScience/SpIDER-Bench/resolve/refs%2Fpr%2F1/SWE-PolyBench/python/huggingface__transformers-16814.pkl
87.8 MB
- Xet hash:
- d17c54699b192642483100fad969233801751046c7a2d9a525dd6c7d1c38bc6e
- Size of remote file:
- 87.8 MB
- SHA256:
- 3242d5ca4910171ed52bc918305ea147d175e233e08a2c2a358a761e4e104979
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.