Instructions to use clementchadebec/reproduced_rae_l2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- pythae
How to use clementchadebec/reproduced_rae_l2 with pythae:
from pythae.models import AutoModel model = AutoModel.load_from_hf_hub("clementchadebec/reproduced_rae_l2") - Notebooks
- Google Colab
- Kaggle
Download decoder.pkl from clementchadebec/reproduced_rae_l2: direct link, hf CLI and curl.
- Browser
- Download file 24.7 MB
-
https://huggingface.co/clementchadebec/reproduced_rae_l2/resolve/main/decoder.pkl
- Command line
-
hf download hf://clementchadebec/reproduced_rae_l2/decoder.pkl
-
curl -L -o decoder.pkl https://huggingface.co/clementchadebec/reproduced_rae_l2/resolve/main/decoder.pkl
24.7 MB
- Xet hash:
- 767b81d3c060aadbee218cc9cf6cae7c826d12fb96e18763edb58b8a5c100aa0
- Size of remote file:
- 24.7 MB
- SHA256:
- 83e7d0f8f27baa292017ae8fc2716d90780fb332d0a4c3e19eaef47f2e673943
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.