Instructions to use drt/wikidata-simplequestions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use drt/wikidata-simplequestions with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="drt/wikidata-simplequestions")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("drt/wikidata-simplequestions") model = AutoModelForMaskedLM.from_pretrained("drt/wikidata-simplequestions") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76611d82426d33e9be5213534a48ff7dae4be02a43351528a997e749894b15e0
- Size of remote file:
- 499 MB
- SHA256:
- 434ac38c0a9d73e75dcd3bbae9ce8e325ca21933e7070448c8acff4a160899b5
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