Instructions to use orai-nlp/bert-base-sw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use orai-nlp/bert-base-sw with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="orai-nlp/bert-base-sw")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("orai-nlp/bert-base-sw") model = AutoModel.from_pretrained("orai-nlp/bert-base-sw") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (15e077c8ee9f069c4630f22d6fb4d8410f1fc118)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:aa7d140ba6d758e4bc6ec25da2354f959271968bc2561a5306dcdcd7364fc766
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size 500672980
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