Instructions to use TheNewPing/bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheNewPing/bert-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("TheNewPing/bert-base") model = AutoModelForMultipleChoice.from_pretrained("TheNewPing/bert-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- caea27087052080c4af6abba952c9d16c5a473cef570928cb17af3bbc958a1b6
- Size of remote file:
- 4.66 kB
- SHA256:
- 8c22f2faf49e10c5eb80c9fa4164c7f0715899bdf12473a4e17d55edb05a426c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.