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")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Addedk/kbbert-distilled-cased") model = AutoModelForMaskedLM.from_pretrained("Addedk/kbbert-distilled-cased") - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3af941dc259f6c6d70f078a88a7352dd25bb66f1ba69a2b84996d7419431b638
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size 328906987
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