Instructions to use NbAiLab/nb-roberta-base-ncc-plus-scandi-2e4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/nb-roberta-base-ncc-plus-scandi-2e4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NbAiLab/nb-roberta-base-ncc-plus-scandi-2e4")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NbAiLab/nb-roberta-base-ncc-plus-scandi-2e4") model = AutoModelForMaskedLM.from_pretrained("NbAiLab/nb-roberta-base-ncc-plus-scandi-2e4") - Notebooks
- Google Colab
- Kaggle
pytorch
Browse files- config.json +1 -1
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": ".
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"architectures": [
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"XLMRobertaForMaskedLM"
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],
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{
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"_name_or_path": ".",
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"architectures": [
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"XLMRobertaForMaskedLM"
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],
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c285e48a9ac66478cb639b979dd8d570c725127a06b09ff90dfe4e3cca6b0e15
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size 1113251641
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