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:
- 6ebfb7e7561e2d1e085be3fd0d04aaad8d1e2aa38c2a760db5be61ce148f7fd7
- Size of remote file:
- 1.63 GB
- SHA256:
- d363ba0219810916f3f62e7731bc7da486c3b68bd0a5d0ee5f56595178e7ba78
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