Instructions to use adnankhawaja/XLNET_RU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adnankhawaja/XLNET_RU with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("adnankhawaja/XLNET_RU", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from adnankhawaja/XLNET_RU: direct link, hf CLI and curl.
- Browser
- Download file 467 MB
-
https://huggingface.co/adnankhawaja/XLNET_RU/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://adnankhawaja/XLNET_RU/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/adnankhawaja/XLNET_RU/resolve/main/pytorch_model.bin
467 MB
- Xet hash:
- c10c2a20d8c3afed795a3ea457b4fd9b844e28b6192a0ddc47a24dfec43cfee6
- Size of remote file:
- 467 MB
- SHA256:
- 102d68f618edfab42017f8dfd84a74098cd19fcc300dc716b10efee167f6c095
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.