Instructions to use Addedk/kbbert-distilled-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Addedk/kbbert-distilled-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Addedk/kbbert-distilled-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Addedk/kbbert-distilled-cased") model = AutoModelForMaskedLM.from_pretrained("Addedk/kbbert-distilled-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add link to report in README
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Fix Readme swedish lowercase
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Upload tokenizer_config.json
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initial commit
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