Instructions to use ltg/norbert2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ltg/norbert2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ltg/norbert2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ltg/norbert2") model = AutoModelForMaskedLM.from_pretrained("ltg/norbert2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db770a9d294e394f77328c2b04ea2d4747a7800a9eb759d6b1bee26793d1c68e
- Size of remote file:
- 498 MB
- SHA256:
- 8741bc2e9666330a411b6e2d1d59280e31c047d141b73f82976ee3d2445b7449
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