Instructions to use ltg/norbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ltg/norbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ltg/norbert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ltg/norbert") model = AutoModelForMaskedLM.from_pretrained("ltg/norbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 088210e23e989d63b94aa114bf40af0455e3cacaa79c32901ed8c8a8a8ddbc5b
- Size of remote file:
- 448 MB
- SHA256:
- d97a2135f74ed0ade9df9b70e1e0fb76961a83121e998c44c9efbf5bfa28e6fa
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