Instructions to use NbAiLab/nb-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/nb-bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NbAiLab/nb-bert-base")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NbAiLab/nb-bert-base", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5b85389867eba26f738020c7e4be0e1e257afb7fb91fdddffc8aeb42dd46ee7
- Size of remote file:
- 714 MB
- SHA256:
- b4cee7ce310557ed3414b0e8049b84092f5129d40634b53fd10228e71b26d7ca
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