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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wikitext
base_model: bert-base-uncased
model-index:
- name: wikitext
results: []
BERT-base-WikiText (Teeny-Tiny Castle)
This model is part of a tutorial tied to the Teeny-Tiny Castle, an open-source repository containing educational tools for AI Ethics and Safety research.