Instructions to use Iiro/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Iiro/results with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import Bert model = Bert.from_pretrained("Iiro/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Iiro/results: direct link, hf CLI and curl.
- Browser
- Download file 433 MB
-
https://huggingface.co/Iiro/results/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Iiro/results/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Iiro/results/resolve/main/pytorch_model.bin
433 MB
- Xet hash:
- 7f1079a65b3d849c36ea337fe020a890a41d78e9b5fda9eeb795749f35bada17
- Size of remote file:
- 433 MB
- SHA256:
- 0ba4522243ec05cc22697406f3f5f79e4f7e80eece4bd2fb58967c3b17e4a2f6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.