Instructions to use Arthur-Tsai/xlnetFv4_ftis_noPretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arthur-Tsai/xlnetFv4_ftis_noPretrain with Transformers:
# Load model directly from transformers import XLNetCLS model = XLNetCLS.from_pretrained("Arthur-Tsai/xlnetFv4_ftis_noPretrain", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c469721377d02066e6776263951f96f6ce846260cf2dbdc7b86527a9c5275b6
- Size of remote file:
- 470 Bytes
- SHA256:
- 823ab67795f19d0ea0d878ca34b386a7d7d7d3ec32bdf845912fb65b85bdb28f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.