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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d1d624bb9fafc2a4a3b744fac3427882f4fce57ff8687e9b6d549d9214c0736
- Size of remote file:
- 501 MB
- SHA256:
- 3c15dc6df9ed0cd6db1726ea7a2d5e8a7e73fa950065cb60436f09c1e7a6609c
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