Instructions to use dhimskyy/wiki-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dhimskyy/wiki-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dhimskyy/wiki-bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dhimskyy/wiki-bert") model = AutoModelForMaskedLM.from_pretrained("dhimskyy/wiki-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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upload flax model
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allow flax
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Update checkpoint-10000/scheduler.pt
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Update training_args.bin
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Update pytorch_model.bin
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Update config.json
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Update vocab.txt
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initial commit
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