Instructions to use JerryWu/bert-base-cased-wikitext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JerryWu/bert-base-cased-wikitext2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="JerryWu/bert-base-cased-wikitext2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("JerryWu/bert-base-cased-wikitext2") model = AutoModelForMaskedLM.from_pretrained("JerryWu/bert-base-cased-wikitext2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1873b107b7243b8f1db1dbf950681c74558bfe6b1272a53583dcf2681e690020
- Size of remote file:
- 433 MB
- SHA256:
- 18e2f084ff5e2f4fd01f836d409ad08aae6f73b4c87d1dcd53d196703eadfd7d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.