Instructions to use NbAiLab/nb-bert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/nb-bert-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NbAiLab/nb-bert-large")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NbAiLab/nb-bert-large", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 594d6593343df502378f5fe528568a3c3b9ab8e6df46a2105038b9640d00010d
- Size of remote file:
- 1.42 GB
- SHA256:
- de1b3793557797b9bc0955911a86c49bcbedb8ddffffa4435800bcc77844fc81
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