Instructions to use who-does/bert-base-cased-wikitext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use who-does/bert-base-cased-wikitext2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="who-does/bert-base-cased-wikitext2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("who-does/bert-base-cased-wikitext2") model = AutoModelForMaskedLM.from_pretrained("who-does/bert-base-cased-wikitext2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a9ea2d2313e0e04d3c0855e8cbe0c373f58882007733a466f27937ed1e31e0a
- Size of remote file:
- 4.73 kB
- SHA256:
- 9d60cf89d6dfb204886b8bb8406c46a53117824115c73c220a853706557e4be8
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