Datasets:
Download SWE-PolyBench/python/huggingface__transformers-15158.pkl from AmazonScience/SpIDER-Bench: direct link, hf CLI and curl.
- Browser
- Download file 105 MB
-
https://huggingface.co/datasets/AmazonScience/SpIDER-Bench/resolve/refs%2Fpr%2F1/SWE-PolyBench/python/huggingface__transformers-15158.pkl
- Command line
-
hf download hf://datasets/AmazonScience/SpIDER-Bench@refs/pr/1/SWE-PolyBench/python/huggingface__transformers-15158.pkl
-
curl -L -o huggingface__transformers-15158.pkl https://huggingface.co/datasets/AmazonScience/SpIDER-Bench/resolve/refs%2Fpr%2F1/SWE-PolyBench/python/huggingface__transformers-15158.pkl
105 MB
- Xet hash:
- fd1db6654d82f494e8f8003d98b737d67a7464565d8430d485c262588897af7b
- Size of remote file:
- 105 MB
- SHA256:
- 7472d1ff41f42b251991f528e48fe5202046e2bdf6ef4ab159d2385bbc448115
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.