Instructions to use KB/bert-base-swedish-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KB/bert-base-swedish-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KB/bert-base-swedish-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("KB/bert-base-swedish-cased") model = AutoModelForMaskedLM.from_pretrained("KB/bert-base-swedish-cased") - Inference
- Notebooks
- Google Colab
- Kaggle
Upload flax_model.msgpack with git-lfs
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:09df7b12083d4978d582bc470a2ed25262e77a9d3f9316ed052123d3549128f5
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