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:
- 1d950ac11525340eecba2063766c29a925dbf13067e6df958e29fb2e73087bb6
- Size of remote file:
- 3.52 kB
- SHA256:
- e5e09a828135e12d22b27fc0544ec4bdd765abfa7b5df63e6e5e713dd35e96b7
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