Instructions to use AiresPucrs/bert-base-wikitext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AiresPucrs/bert-base-wikitext with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AiresPucrs/bert-base-wikitext")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AiresPucrs/bert-base-wikitext") model = AutoModelForMaskedLM.from_pretrained("AiresPucrs/bert-base-wikitext") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eca2c4157b1e779624d96e7b9d68e628fff83ac3c61c38592e8b1b5b59ab7acc
- Size of remote file:
- 438 MB
- SHA256:
- a03fc926f5bbb27fb3b69c9355946b1cd481f405e11987eecf7561a5b8cdb1bd
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